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US20130170564A1 - Encoding of a picture in a video sequence by example-based data pruning using intra-frame patch similarity - Google Patents

Encoding of a picture in a video sequence by example-based data pruning using intra-frame patch similarity Download PDF

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US20130170564A1
US20130170564A1 US13/821,357 US201113821357A US2013170564A1 US 20130170564 A1 US20130170564 A1 US 20130170564A1 US 201113821357 A US201113821357 A US 201113821357A US 2013170564 A1 US2013170564 A1 US 2013170564A1
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patch
picture
overlapping blocks
pruned
blocks
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Dong-Qing Zhang
Sitaram Bhagavathy
Shan He
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    • H04N19/102Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
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    • H04N19/176Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
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    • H04N19/189Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding
    • H04N19/196Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding being specially adapted for the computation of encoding parameters, e.g. by averaging previously computed encoding parameters
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Definitions

  • the present principles relate generally to video encoding and decoding and, more particularly, to methods and apparatus for example-based data pruning using intra-frame patch similarity.
  • Data pruning is a video preprocessing technology that achieves better video coding efficiency by removing part of the input video data before the input video data is encoded.
  • the removed video data is recovered at the decoder side by inferring the removed video data from the decoded data.
  • One example of data pruning is image line removal, which removes some of the horizontal and vertical scan lines in the input video.
  • example-based data pruning In a first approach, a new data pruning method called example-based data pruning is employed, in which external videos or video frames that have been previously transmitted to the decoder side are used to train an example patch library. The patch library is then used to prune and recover the video data.
  • a texture replacement based method is used to remove texture regions at the encoder side, and re-synthesize the texture regions at the decoder side. Compression efficiency is gained because only synthesis parameters are sent to the decoder, which are smaller than the regular transformation coefficients.
  • spatio-temporal texture synthesis and edge-based inpainting are used to remove some of the regions at the encoder side, and the removed content is recovered at the decoder side, with the help of metadata such as region masks.
  • the fourth and fifth approaches need to modify the encoder and decoder so that the encoder/decoder can selectively perform encoding/decoding for some of the regions using the region masks. Therefore, it is not exactly an out-of-loop approach (i.e., the encoder and decoder need to be modified).
  • a line removal based method is proposed to rescale a video to a smaller size by selectively removing some of the horizontal or vertical lines in the video with a least-square minimization framework.
  • the sixth approach is an out-of-loop approach, and does not require modification of the encoder/decoder.
  • completely removing certain horizontal and vertical lines may result in loss of information or details for some videos.
  • a data pruning scheme using sampling-based super-resolution is presented.
  • the full resolution frame is sampled into several smaller-sized frames, therefore reducing the spatial size of the original video.
  • the high-resolution frame is re-synthesized from the downsampled frames with the help of metadata received from the encoder side.
  • an example-based super-resolution based method for data pruning is presented.
  • a representative patch library is trained from the original video. Afterwards, the video is downsized to a smaller size. The downsized video and the patch library are sent to the decoder side.
  • the recovery process at the decoder side super-resolves the downsized video by example-based super-resolution using the patch library.
  • the patch library and downsized frames, it has been discovered that it may be difficult to achieve compression gain using the eighth approach.
  • an example-based data pruning method creates a patch library using the video frames that have been sent to the decoder side and uses the patch library to prune and recover video frames.
  • this method does not consider the intra-frame patch dependency, which may happen if there are repetitive textures or patterns in a video frame.
  • MPEG-4 AVC Standard In the International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) Moving Picture Experts Group-4 (MPEG-4) Part 10 Advanced Video Coding (AVC) Standard/International Telecommunication Union, Telecommunication Sector (ITU-T) H.264 Recommendation (hereinafter the “MPEG-4 AVC Standard”), intra-frame block prediction is realized by block prediction from the neighboring blocks. However, long-range similarity of non-neighboring blocks is not exploited to increase compression efficiency.
  • an apparatus for encoding a picture in a video sequence includes a patch library creator for creating a first patch library from an original version of the picture and a second patch library from a reconstructed version of the picture.
  • Each of the first patch library and the second patch library includes a plurality of high resolution replacement patches for replacing one or more pruned blocks during a recovery of a pruned version of the picture.
  • the apparatus also includes a pruner for generating the pruned version of the picture from the first patch library.
  • the apparatus further includes a metadata generator for generating metadata from the second patch library.
  • the metadata is for recovering the pruned version of the picture.
  • the apparatus additionally includes an encoder for encoding the pruned version of the picture and the metadata.
  • the first patch library includes a plurality of patch clusters
  • the pruned version of the picture is generated by dividing the original version of the picture into a plurality of overlapping blocks, searching for candidate patch clusters from among the plurality of patch clusters for each of the plurality of overlapping blocks based on respective distance metrics from each of the plurality of overlapping blocks to respective centers of each of the plurality of patch clusters, identifying a best matching patch from the candidate patch clusters based on one or more criterion, and pruning a corresponding one of the plurality of overlapping blocks to obtain a pruned block there for when a difference between the corresponding one of the plurality of overlapping blocks and the best matching patch is less than a threshold difference.
  • a patch dependency graph having a plurality of nodes and a plurality of edges is used for the searching.
  • Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks
  • each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • a method for encoding a picture in a video sequence includes creating a first patch library from an original version of the picture and a second patch library from a reconstructed version of the picture.
  • Each of the first patch library and the second patch library includes a plurality of high resolution replacement patches for replacing one or more pruned blocks during a recovery of a pruned version of the picture.
  • the method also includes generating the pruned version of the picture from the first patch library.
  • the method further includes generating metadata from the second patch library.
  • the metadata is for recovering the pruned version of the picture.
  • the method additionally includes encoding the pruned version of the picture and the metadata.
  • the first patch library includes a plurality of patch clusters
  • the pruned version of the picture is generated by dividing the original version of the picture into a plurality of overlapping blocks, searching for candidate patch clusters from among the plurality of patch clusters for each of the plurality of overlapping blocks based on respective distance metrics from each of the plurality of overlapping blocks to respective centers of each of the plurality of patch clusters, identifying a best matching patch from the candidate patch clusters based on one or more criterion, and pruning a corresponding one of the plurality of overlapping blocks to obtain a pruned block there for when a difference between the corresponding one of the plurality of overlapping blocks and the best matching patch is less than a threshold difference.
  • a patch dependency graph having a plurality of nodes and a plurality of edges is used for the searching.
  • Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks
  • each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • an apparatus for recovering a pruned version of a picture in a video sequence includes a divider for dividing the pruned version of the picture into a plurality of non-overlapping blocks.
  • the apparatus also includes a metadata decoder for decoding metadata for use in recovering the pruned version of the picture.
  • the apparatus further includes a patch library creator for creating a patch library from a reconstructed version of the picture.
  • the patch library includes a plurality of high resolution replacement patches for replacing the one or more pruned blocks during a recovery of the pruned version of the picture.
  • the apparatus additionally includes a search and replacement device for performing a searching process using the metadata to find a corresponding patch for a respective one of the one or more pruned blocks from among the plurality of non-overlapping blocks and replace the respective one of the one or more pruned blocks with the corresponding patch.
  • the signature is respectively created for each of the one or more pruned blocks, and the pruned version of the picture is recovered by comparing respective distance metrics from signatures for each of the plurality of high resolution patches to signatures for each of the one or more pruned blocks, sorting the respective distance metrics to obtain a rank list for each of the one or more pruned blocks, wherein a rank number in the rank list for a particular one of the one or more pruned blocks is used to retrieve a corresponding one of the plurality of high resolution patches in the patch library to be used to replace the particular one of the one or more pruned blocks.
  • a patch dependency graph having a plurality of nodes and a plurality of edges is used to recover the pruned version of the picture. Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks, and each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • a method for recovering a pruned version of a picture in a video sequence includes dividing the pruned version of the picture into a plurality of non-overlapping blocks. The method also includes decoding metadata for use in recovering the pruned version of the picture. The method further includes creating a patch library from a reconstructed version of the picture. The patch library includes a plurality of high resolution replacement patches for replacing the one or more pruned blocks during a recovery of the pruned version of the picture. The method additionally includes performing a searching process using the metadata to find a corresponding patch for a respective one of the one or more pruned blocks from among the plurality of non-overlapping blocks and replace the respective one of the one or more pruned blocks with the corresponding patch.
  • the signature is respectively created for each of the one or more pruned blocks, and the pruned version of the picture is recovered by comparing respective distance metrics from signatures for each of the plurality of high resolution patches to signatures for each of the one or more pruned blocks, sorting the respective distance metrics to obtain a rank list for each of the one or more pruned blocks, wherein a rank number in the rank list for a particular one of the one or more pruned blocks is used to retrieve a corresponding one of the plurality of high resolution patches in the patch library to be used to replace the particular one of the one or more pruned blocks.
  • a patch dependency graph having a plurality of nodes and a plurality of edges is used to recover the pruned version of the picture. Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks, and each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • an apparatus for encoding a picture in a video sequence includes means for creating a first patch library from an original version of the picture and a second patch library from a reconstructed version of the picture.
  • Each of the first patch library and the second patch library includes a plurality of high resolution replacement patches for replacing one or more pruned blocks during a recovery of a pruned version of the picture.
  • the apparatus also includes means for generating the pruned version of the picture from the first patch library.
  • the apparatus further includes means for generating metadata from the second patch library, the metadata for recovering the pruned version of the picture.
  • the apparatus additionally includes means for encoding the pruned version of the picture and the metadata.
  • the first patch library includes a plurality of patch clusters
  • the pruned version of the picture is generated by dividing the original version of the picture into a plurality of overlapping blocks, searching for candidate patch clusters from among the plurality of patch clusters for each of the plurality of overlapping blocks based on respective distance metrics from each of the plurality of overlapping blocks to respective centers of each of the plurality of patch clusters, identifying a best matching patch from the candidate patch clusters based on one or more criterion, and pruning a corresponding one of the plurality of overlapping blocks to obtain a pruned block there for when a difference between the corresponding one of the plurality of overlapping blocks and the best matching patch is less than a threshold difference.
  • a patch dependency graph having a plurality of nodes and a plurality of edges is used for the searching.
  • Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks
  • each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • an apparatus for recovering a pruned version of a picture in a video sequence includes means for dividing the pruned version of the picture into a plurality of non-overlapping blocks.
  • the apparatus also includes means for decoding metadata for use in recovering the pruned version of the picture.
  • the apparatus further includes means for creating a patch library from a reconstructed version of the picture.
  • the patch library includes a plurality of high resolution replacement patches for replacing the one or more pruned blocks during a recovery of the pruned version of the picture.
  • the apparatus additionally includes means for performing a searching process using the metadata to find a corresponding patch for a respective one of the one or more pruned blocks from among the plurality of non-overlapping blocks and replace the respective one of the one or more pruned blocks with the corresponding patch.
  • the signature is respectively created for each of the one or more pruned blocks, and the pruned version of the picture is recovered by comparing respective distance metrics from signatures for each of the plurality of high resolution patches to signatures for each of the one or more pruned blocks, sorting the respective distance metrics to obtain a rank list for each of the one or more pruned blocks, wherein a rank number in the rank list for a particular one of the one or more pruned blocks is used to retrieve a corresponding one of the plurality of high resolution patches in the patch library to be used to replace the particular one of the one or more pruned blocks.
  • a patch dependency graph having a plurality of nodes and a plurality of edges is used to recover the pruned version of the picture.
  • Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks
  • each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • FIG. 1 is a block diagram showing an exemplary example-based data pruning system using intra-frame patch similarity, in accordance with an embodiment of the present principles
  • FIG. 2 is a block diagram showing an exemplary video encoder to which the present principles may be applied, in accordance with an embodiment of the present principles
  • FIG. 3 is a block diagram showing an exemplary video decoder to which the present principles may be applied, in accordance with an embodiment of the present principles
  • FIG. 4 is a block diagram showing an exemplary first portion for performing encoder side processing in an example-based data pruning system using intra-frame patch similarity, in accordance with an embodiment of the present principles
  • FIG. 5 is a block diagram showing an exemplary method for clustering and patch library creation, in accordance with an embodiment of the present principles
  • FIG. 6 is a block diagram showing an exemplary patch library and corresponding clusters, in accordance with an embodiment of the present principles
  • FIG. 7 is a diagram showing an exemplary signature vector, in accordance with an embodiment of the present principles.
  • FIG. 8 is a block diagram showing an exemplary second portion for performing encoder side processing in an example-based data pruning system using intra-frame patch similarity, in accordance with an embodiment of the present principles
  • FIG. 9 is a flow diagram showing an exemplary method for video frame pruning, in accordance with an embodiment of the present principles.
  • FIG. 10 is a block diagram showing a patch search process, in accordance with an embodiment of the present principles.
  • FIG. 11 is a diagram showing a block search area in a process of pruning for causal recovery, in accordance with an embodiment of the present principles
  • FIG. 12 is a diagram showing an exemplary block dependency graph, in accordance with an embodiment of the present principles.
  • FIG. 13 is a flow diagram showing an exemplary method for obtaining a recovery sequence, in accordance with an embodiment of the present principles
  • FIG. 14 is a diagram showing an exemplary evolution of the dependency graph using the pruning algorithm, in accordance with an embodiment of the present principles
  • FIG. 15 is a diagram showing an exemplary mixed-resolution frame, in accordance with an embodiment of the present principles.
  • FIG. 16 is a flow diagram showing an exemplary method for encoding metadata, in accordance with an embodiment of the present principles
  • FIG. 17 is a flow diagram showing an example method for encoding pruned block IDs, in accordance with an embodiment of the present principles
  • FIG. 18 is a flow diagram showing an exemplary method for encoding a patch index, in accordance with an embodiment of the present principles
  • FIG. 19 is a flow diagram showing an exemplary method for decoding a patch index, in accordance with an embodiment of the present principles
  • FIG. 20 is a diagram showing an exemplary block ID, in accordance with an embodiment of the present principles.
  • FIG. 21 is a flow diagram showing an exemplary method for pruning sequent frames, in accordance with an embodiment of the present principles
  • FIG. 22 is a diagram showing an exemplary motion vector for a pruned block, in accordance with an embodiment of the present principles
  • FIG. 23 is a flow diagram showing an exemplary method for decoding metadata, in accordance with an embodiment of the present principles
  • FIG. 24 is a flow diagram showing an exemplary method for decoding pruned block IDs, in accordance with an embodiment of the present principles
  • FIG. 25 is a block diagram showing an exemplary apparatus for performing decoder side processing for example-based data pruning using intra-frame patch similarity, in accordance with an embodiment of the present principles
  • FIG. 26 is a flow diagram showing an exemplary method for recovering a pruned frame, in accordance with an embodiment of the present principles.
  • FIG. 27 is a flow diagram showing an exemplary method for recovering subsequent frames, in accordance with an embodiment of the present principles.
  • the present principles are directed to methods and apparatus for example-based data pruning using intra-frame patch similarity.
  • processor or “controller” should not be construed to refer exclusively to hardware capable of executing software, and may implicitly include, without limitation, digital signal processor (“DSP”) hardware, read-only memory (“ROM”) for storing software, random access memory (“RAM”), and non-volatile storage.
  • DSP digital signal processor
  • ROM read-only memory
  • RAM random access memory
  • any switches shown in the figures are conceptual only. Their function may be carried out through the operation of program logic, through dedicated logic, through the interaction of program control and dedicated logic, or even manually, the particular technique being selectable by the implementer as more specifically understood from the context.
  • any element expressed as a means for performing a specified function is intended to encompass any way of performing that function including, for example, a) a combination of circuit elements that performs that function or b) software in any form, including, therefore, firmware, microcode or the like, combined with appropriate circuitry for executing that software to perform the function.
  • the present principles as defined by such claims reside in the fact that the functionalities provided by the various recited means are combined and brought together in the manner which the claims call for. It is thus regarded that any means that can provide those functionalities are equivalent to those shown herein.
  • any of the following “/”, “and/or”, and “at least one of”, for example, in the cases of “A/B”, “A and/or B” and “at least one of A and B”, is intended to encompass the selection of the first listed option (A) only, or the selection of the second listed option (B) only, or the selection of both options (A and B).
  • such phrasing is intended to encompass the selection of the first listed option (A) only, or the selection of the second listed option (B) only, or the selection of the third listed option (C) only, or the selection of the first and the second listed options (A and B) only, or the selection of the first and third listed options (A and C) only, or the selection of the second and third listed options (B and C) only, or the selection of all three options (A and B and C).
  • This may be extended, as readily apparent by one of ordinary skill in this and related arts, for as many items listed.
  • the pruning system 100 includes a pruner 105 having an output connected in signal communication with an input of a video encoder 110 and a first input of a metadata generator and encoder 135 .
  • An output of the video encoder is connected in signal communication with an input of a video decoder 115 and an input of a patch library creator 140 .
  • An output of the video decoder 115 is connected in signal communication with a first input of a recovery device 120 .
  • An output of the patch library creator 130 is connected in signal communication with a second input of the recovery device 120 .
  • An output of the metadata generator and encoder 135 is connected in signal communication with an input of a metadata decoder 125 .
  • An output of the metadata decoder 125 is connected in signal communication with a third input of the recovery device 120 .
  • An output of the patch library creator 140 is connected in signal communication with a second input of the metadata generator and encoder 135 .
  • An output of a clustering device and patch library creator 145 is connected in signal communication with a second input of the pruner 105 .
  • An input of the pruner 105 and an input of the clustering device and patch library creator 145 are available as inputs to the pruning system 100 , for receiving input video.
  • An output of the recovery device is available as an output of the pruning system 100 , for outputting video.
  • the video encoder 200 includes a frame ordering buffer 210 having an output in signal communication with a non-inverting input of a combiner 285 .
  • An output of the combiner 285 is connected in signal communication with a first input of a transformer and quantizer 225 .
  • An output of the transformer and quantizer 225 is connected in signal communication with a first input of an entropy coder 245 and a first input of an inverse transformer and inverse quantizer 250 .
  • An output of the entropy coder 245 is connected in signal communication with a first non-inverting input of a combiner 290 .
  • An output of the combiner 190 is connected in signal communication with a first input of an output buffer 235 .
  • a first output of an encoder controller 205 is connected in signal communication with a second input of the frame ordering buffer 210 , a second input of the inverse transformer and inverse quantizer 250 , an input of a picture-type decision module 215 , a first input of a macroblock-type (MB-type) decision module 220 , a second input of an intra prediction module 260 , a second input of a deblocking filter 265 , a first input of a motion compensator 270 , a first input of a motion estimator 275 , and a second input of a reference picture buffer 280 .
  • MB-type macroblock-type
  • a second output of the encoder controller 205 is connected in signal communication with a first input of a Supplemental Enhancement Information (SEI) inserter 230 , a second input of the transformer and quantizer 225 , a second input of the entropy coder 245 , a second input of the output buffer 235 , and an input of the Sequence Parameter Set (SPS) and Picture Parameter Set (PPS) inserter 240 .
  • SEI Supplemental Enhancement Information
  • An output of the SEI inserter 230 is connected in signal communication with a second non-inverting input of the combiner 290 .
  • a first output of the picture-type decision module 215 is connected in signal communication with a third input of the frame ordering buffer 210 .
  • a second output of the picture-type decision module 215 is connected in signal communication with a second input of a macroblock-type decision module 220 .
  • SPS Sequence Parameter Set
  • PPS Picture Parameter Set
  • An output of the inverse quantizer and inverse transformer 250 is connected in signal communication with a first non-inverting input of a combiner 219 .
  • An output of the combiner 219 is connected in signal communication with a first input of the intra prediction module 260 and a first input of the deblocking filter 265 .
  • An output of the deblocking filter 265 is connected in signal communication with a first input of a reference picture buffer 280 .
  • An output of the reference picture buffer 280 is connected in signal communication with a second input of the motion estimator 275 and a third input of the motion compensator 270 .
  • a first output of the motion estimator 275 is connected in signal communication with a second input of the motion compensator 270 .
  • a second output of the motion estimator 275 is connected in signal communication with a third input of the entropy coder 245 .
  • An output of the motion compensator 270 is connected in signal communication with a first input of a switch 297 .
  • An output of the intra prediction module 260 is connected in signal communication with a second input of the switch 297 .
  • An output of the macroblock-type decision module 220 is connected in signal communication with a third input of the switch 297 .
  • the third input of the switch 297 determines whether or not the “data” input of the switch (as compared to the control input, i.e., the third input) is to be provided by the motion compensator 270 or the intra prediction module 260 .
  • the output of the switch 297 is connected in signal communication with a second non-inverting input of the combiner 219 and an inverting input of the combiner 285 .
  • a first input of the frame ordering buffer 210 and an input of the encoder controller 205 are available as inputs of the encoder 200 , for receiving an input picture.
  • a second input of the Supplemental Enhancement Information (SEI) inserter 230 is available as an input of the encoder 200 , for receiving metadata.
  • An output of the output buffer 235 is available as an output of the encoder 200 , for outputting a bitstream.
  • SEI Supplemental Enhancement Information
  • the video decoder 300 includes an input buffer 310 having an output connected in signal communication with a first input of an entropy decoder 345 .
  • a first output of the entropy decoder 345 is connected in signal communication with a first input of an inverse transformer and inverse quantizer 350 .
  • An output of the inverse transformer and inverse quantizer 350 is connected in signal communication with a second non-inverting input of a combiner 325 .
  • An output of the combiner 325 is connected in signal communication with a second input of a deblocking filter 365 and a first input of an intra prediction module 360 .
  • a second output of the deblocking filter 365 is connected in signal communication with a first input of a reference picture buffer 380 .
  • An output of the reference picture buffer 380 is connected in signal communication with a second input of a motion compensator 370 .
  • a second output of the entropy decoder 345 is connected in signal communication with a third input of the motion compensator 370 , a first input of the deblocking filter 365 , and a third input of the intra predictor 360 .
  • a third output of the entropy decoder 345 is connected in signal communication with an input of a decoder controller 305 .
  • a first output of the decoder controller 305 is connected in signal communication with a second input of the entropy decoder 345 .
  • a second output of the decoder controller 305 is connected in signal communication with a second input of the inverse transformer and inverse quantizer 350 .
  • a third output of the decoder controller 305 is connected in signal communication with a third input of the deblocking filter 365 .
  • a fourth output of the decoder controller 305 is connected in signal communication with a second input of the intra prediction module 360 , a first input of the motion compensator 370 , and a second input of the reference picture buffer
  • An output of the motion compensator 370 is connected in signal communication with a first input of a switch 397 .
  • An output of the intra prediction module 360 is connected in signal communication with a second input of the switch 397 .
  • An output of the switch 397 is connected in signal communication with a first non-inverting input of the combiner 325 .
  • An input of the input buffer 310 is available as an input of the decoder 300 , for receiving an input bitstream.
  • a first output of the deblocking filter 365 is available as an output of the decoder 300 , for outputting an output picture.
  • the present principles are directed to methods and apparatus for example-based data pruning using intra-frame patch similarity.
  • this application discloses a new approach that takes advantage of patch similarity within a video frame.
  • the patch similarity within an image happens in many real-world pictures where there are repetitive textures or patterns in the pictures such as, for example, a picture with wall papers as the background.
  • the within-picture patch similarity is discovered by a clustering algorithm, and a patch library is created for pruning and recovery.
  • the patch dependency problems have to be resolved in order to ensure artifact-free recovery.
  • the present principles provide an improvement of our previous approach by training the patch library at the decoder side using previously sent frames or existing frames, rather than sending the patch library through one or more communication channels.
  • the data pruning is realized by replacing some blocks in the input frames with flat regions to create “mixed-resolution” frames.
  • the present principles provide a method for pruning an input video so that the input video can be more efficiently encoded by a video encoder.
  • the present principles take advantage of the similarity of image patches within a video frame to further increase the compression efficiency.
  • intra-frame patch similarity is used to train an example patch library and prune a video and recover the pruned video.
  • Error-bounded clustering (the modified K-means clustering) is used for efficient patch searching in the library.
  • a mixed-resolution data pruning scheme is used, where blocks are replaced by flat blocks to reduce the high-frequency signal.
  • the present principles may involve the use of patch signature matching, a matching rank list, and rank number encoding to increase the efficiency of metadata (best-match patch position in library) encoding. Moreover, a method is disclosed for encoding the block coordinates using the flat block identification based on color variation.
  • the encoder-side processing component can be considered to include two parts, namely a patch library creation part and a pruning part.
  • two patch libraries are generated at the encoder side, one patch library from the original frame, the other patch library from the reconstructed frame (i.e., a pruned, encoded and then decoded frame).
  • the latter is exactly the same as the patch library created at the encoder side in that they use exactly the same frame (i.e., the reconstructed frame) to generate the patch libraries.
  • the patch library created using the original frame is used to prune the blocks, whereas the patch library created using the reconstructed frame is used to encode metadata.
  • the reason of using a patch library created from the reconstructed frame is to make sure the patch libraries for encoding and decoding metadata are identical at the encoder and decoder side.
  • a clustering algorithm is performed to group the patches so that the patch search process during pruning can be efficiently carried out. Pruning is a process to modify the source video using the patch library so that less bits are sent to the decoder side. Pruning is realized by dividing a video frame into blocks, and replacing some of the blocks with flat blocks. The pruned frame is then taken as the input for a video encoder.
  • An example video encoder to which the present principles may be applied is shown in FIG. 2 described above.
  • the decoder-side processing component of the pruning system 100 can also be considered to include two parts, namely a patch library creation part and a recovery part.
  • Patch library creation is a process to create a patch library that is exactly the same as the library used for pruning at the encoder side. This is ensured by using exactly the same frame (i.e., the reconstructed pruned frame) for patch library creation.
  • the recovery component is a process to recover the pruned content in the decoded pruned frames sent from the encoder side.
  • An example video encoder to which the present principles may be applied is shown in FIG. 3 described above.
  • the first portion 400 includes a divider 410 having an output in signal communication with an input of a clustering device 420 .
  • An input of the divider is available as an input to the first portion 400 , for receiving the first frame in a GOP.
  • An output of the clustering device 420 is available as an output of the first portion 400 , for outputting clusters and a patch library.
  • an exemplary method for clustering and patch library creation is indicated generally by the reference numeral 500 .
  • a training video frame is input.
  • the training video frame is divided (by divider 410 ) into overlapping blocks.
  • blocks without high-frequency details are removed (by the clustering device 420 ).
  • the blocks are clustered (by the clustering device 420 ).
  • clusters and a patch library are output.
  • the patch library is a pool of high resolution patches that can be used to recover pruned image blocks.
  • an exemplary patch library and corresponding clusters are indicated generally by the reference numeral 600 .
  • the patch library is specifically indicated by the reference numeral 610 , and includes a signature portion 611 and a high resolution patch portion 612 .
  • two patch libraries are generated, one patch library for pruning, the other patch library for metadata encoding.
  • the patch library for pruning is generated using the original frame, whereas the patch library for metadata encoding is generated using the reconstructed frame.
  • the patches in the library are grouped into clusters so that the pruning search process can be efficiently performed.
  • the video frames used for library creation are divided into overlapping blocks to form a training data set.
  • the training data is first cleaned up by removing all blocks that do not include high-frequency details.
  • a modified K-means clustering algorithm is used to group the patches in the training data set into clusters. For each cluster, the cluster center is the average of the patches in the cluster, and is used for matching to an incoming query during the pruning process.
  • the modified K-means clustering algorithm guarantees that the error between any patch within a cluster and its cluster center is smaller than a specified threshold.
  • the modified K-means clustering algorithm could be replaced by any similar clustering algorithm which ensures the error bound in the clusters.
  • the horizontal and vertical dimensions of the training frames are reduced to one quarter of the original size.
  • the clustering process is performed on the patches in the downsized frames.
  • the size of the high-resolution patches is 16 ⁇ 16 pixels
  • the size of the downsized patches is 4 ⁇ 4 pixels. Therefore, the downsize factor is 4.
  • other sizes can be used, while maintaining the spirit of the present principles.
  • the clustering process and clean-up process are not performed, therefore it includes all possible patches from the reconstructed frame. However, for every patch in the patch library created from the original frames, its corresponding patch can be found in the patch library created from the reconstructed frame using the coordinates of the patches. This would make sure that metadata encoding can be correctly performed.
  • the same patch library without clustering is created using the same decoded video frames for metadata decoding and pruned block recovery.
  • the signature of a patch is a feature vector that includes the average color of the patch and the surrounding pixels of the patch.
  • the patch signatures are used for the metadata encoding process to more efficiently encode the metadata, and used in the recovery process at the decoder side to find the best-match patch and more reliably recover the pruned content.
  • FIG. 7 an exemplary signature vector is indicated generally by the reference numeral 700 .
  • the signature vector 700 includes an average color 701 and surrounding pixels 702 .
  • the metadata encoding process is described herein below.
  • the neighboring blocks of a pruned block for recovery or metadata encoding are also pruned.
  • the set of surrounding pixels used as the signature for search in the patch library only includes the pixels from the non-pruned blocks. If all the neighboring blocks are pruned, then only the average color 701 is used as the signature. This may end up with bad patch matches since too little information is used for patch matching, that is why neighboring non-pruned pixels 702 are important.
  • the input video frames are divided into Group of Pictures (GOP).
  • the pruning process is conducted on the first frame of a GOP.
  • the pruning result is propagated to the rest of the frames in the GOP afterwards.
  • an exemplary second portion for performing encoder side processing in an example-based data pruning system using intra-frame patch similarity is indicated generally by the reference numeral 800 .
  • the second portion 800 includes a divider 805 having an output in signal communication with an input of a patch library searcher 810 .
  • An output of the patch library searcher 810 is connected in signal communication with an input of a video encoder 815 , a first input of a metadata generator 830 , and a first input of a metadata encoder 825 .
  • An output of the metadata generator 830 is connected in signal communication with a second input of the metadata encoder 825 .
  • a first output of the video encoder 815 is connected in signal communication with a second input of the metadata generator 830 .
  • An input of the divider 805 is available as an input of the second portion 800 , for receiving an input frame.
  • An output of the video encoder 815 is available as an output of the second portion 800 , for outputting an encoded video frame.
  • An output of the metadata encoder 825 is available as an output of the second portion 800 , for outputting encoded metadata.
  • an exemplary method for pruning a video frame is indicated generally by the reference numeral 900 .
  • a video frame is input.
  • the video frame is divided into non-overlapping blocks.
  • a loop is performed for each block.
  • a search is performed in the patch library.
  • the block is pruned.
  • the pruned frame and corresponding metadata are output.
  • the input frame is first divided into non-overlapping blocks per step 910 .
  • the size of the block is the same as the size of the macroblock used in the standard compression algorithms, in our current implementation, 16 ⁇ 16 pixels.
  • a search process then is followed to find the best-match patch in the patch library per step 920 .
  • This search process is illustrated in FIG. 10 .
  • a patch search process performing during pruning is indicated generally by the reference numeral 1000 .
  • the patch search process 1000 involves a patch library 1010 which, in turn, includes a signature portion 1011 and a high resolution patch portion 1012 .
  • the block is matched with the centers of the clusters by calculating the Euclidean distance, and finding the top K matched clusters. Currently, K is determined empirically.
  • K is determined by the error bound of the clusters.
  • other approaches to calculating K may also be used in accordance with the teachings of the present principles.
  • a block search area in a process of pruning for causal recovery is indicated generally by the reference numeral 1100 .
  • the block search area 1100 includes an example patch 1110 and a candidate block 1120 .
  • the patches preceding the pruning block are within the shaded area in FIG. 11 .
  • all blocks within the shaded area have been recovered, therefore all patches within the shaded area should be available.
  • the patch dependency graph is a directed acyclic graph (DAG), where each node of the graph represents a candidate block for pruning, and each edge represents the dependency of the blocks.
  • DAG directed acyclic graph
  • FIG. 12 an exemplary block dependency graph is indicated generally by the reference numeral 1200 .
  • each circle is a node of the dependency graph, which represents a block in a video frame.
  • the arrows (edges of the graph) between the circles indicate the dependencies of the blocks.
  • the dependency graph 1200 is created during the block search process. For a candidate block, after the block search process, if the best-match patch is found, then an edge that points from the candidate block to the blocks overlapping with the best-match patches would be created in the dependency graph. After the search process is done for all the candidate blocks, a process is carried out to obtain the recovery sequence of the pruned blocks. Turning to FIG.
  • an exemplary method for obtaining a recovery sequence is indicated generally by the reference numeral 1300 .
  • a block dependency graph is input.
  • end nodes are found in the block dependency graph.
  • block IDs are saved and end nodes are removed.
  • the block IDs are output and saved as a recovery sequence.
  • a node with the maximum indegree is found.
  • the node is removed from the block dependency graph.
  • step (2) Find all end nodes (i.e., the nodes that do not depend on other nodes) in the graph and save the corresponding block coordinates (here the block coordinates are represented as the block IDs as shown in FIG. 12 ) of all the end nodes. After the block IDs are saved, the corresponding nodes are removed from the dependency graph. The procedure repeats until all end nodes are removed. If the dependency graph is empty, the algorithm ends, otherwise the algorithm goes to step (2).
  • step (1) finds a node in the graph with maximum indegree, i.e., a node corresponding to the block upon which depends a maximum number of other blocks. Remove the node in the graph, do not save the IDs of the block (i.e., the block will not be pruned). Repeat this procedure until there are new end nodes emerging in the graph. Then the algorithm goes back to step (1).
  • the block is not pruned because the block cannot be recovered using the available pixels (decoded pixels and recovered pixels) in the frame. On the other hand, other blocks may depend on this block to recover. Therefore, in order to prune maximum number of blocks, the block upon which depends the maximum number of other blocks is found. After the block is kept unpruned (i.e., removed from the graph), there may be new end nodes emerging, and then step (1) can be used to prune the block again.
  • an exemplary evolution of the dependency graph using the pruning algorithm is indicated generally by the reference numeral 1400 .
  • the evolution involves the graph before pruning 1410 , the graph after step (1) is performed ( 1420 ), and the graph after step (2) is performed ( 1430 ).
  • a process is conducted to prune the block.
  • the block replacement process creates a video frame where some parts of the frame have high-resolution and some parts have low-resolution; therefore, such a frame is called as mixed-resolution frame.
  • FIG. 15 an exemplary mixed-resolution frame is indicated generally by the reference numeral 1500 . Our experiments show that such flat-block replacement scheme is quite effective to gain compression efficiency.
  • the flat block replacement scheme could be replaced by a low-resolution block replacement scheme, where the block for pruning is replaced by its low-resolution version.
  • Metadata encoding includes two components (see FIG. 16 ), one for encoding pruned block IDs (see FIG. 17 ), the other for encoding patch index (see FIG. 18 ), which are the results of searching patch library for each block during the pruning process.
  • an exemplary method for encoding metadata is indicated generally by the reference numeral 1600 .
  • a decoded pruned video frame, pruned block IDs, and a patch index for each block are input.
  • pruned block IDs are encoded.
  • the patch index is encoded.
  • the encoded metadata is output.
  • an example method for encoding pruned block IDs is indicated generally by the reference numeral 1700 .
  • a pruned frame and pruned block IDs are input.
  • a low-resolution block identification is performed.
  • it is determined whether or not the number of false positives is more than the number of pruned blocks. If so, then the method proceeds to step 1630 . Otherwise, control proceeds to step 1735 .
  • the pruned block sequence is used, and a flag is set equal to zero.
  • a differentiation is performed.
  • lossless encoding is performed.
  • the encoded metadata is output.
  • a threshold is adjusted.
  • the false positive sequence is used, and the flag is set equal to one.
  • an exemplary method for encoding a patch index is indicated generally by the reference numeral 1800 .
  • a decoded pruned video frame and a patch index for each block are input.
  • a loop is performed for each pruned block.
  • a signature is obtained.
  • the distances to the patches in the patch library are calculated.
  • the patches are sorted to obtain a rank list.
  • the rank number is obtained.
  • the rank number is entropy coded.
  • the encoded patch index is output.
  • the system would search the best match patch in the patch library and output a patch index in the patch library for a found patch if the distortion is less than a threshold.
  • Each patch is associated with its signature (i.e., its color plus surrounding pixels in the decoded frames).
  • the color of the pruned block and its surrounding pixels are used as a signature to find the correct high-resolution patch in the library.
  • the search process using the signature is not reliable, and metadata is needed to assist the recovery process to ensure reliability. Therefore, after the pruning process, the system will proceed to generate metadata for assisting recovery.
  • the search process described above already identifies the corresponding patches in the library.
  • the metadata encoding component will simulate the recovery process to encode the metadata.
  • a new patch library will be created using the decoded pruned frame to ensure the patch library is exactly the same as that in the decoder side.
  • the frame is divided into overlapping patches and signatures are created for the patches.
  • the patch library has to be dynamically updated because some pruned blocks will be recovered during the process. The process is illustrated in FIG. 17 . Thus, referring back to FIG.
  • the query signature (the average color of the pruned block plus the surrounding pixels) will be used to match the signatures of the patches in the library.
  • the distances e.g., Euclidean, although, of course, other distance metrics may be used
  • the patches are sorted according to the distances, resulting in a rank list. In the ideal case, the best-match high-resolution patch should be at the top of the rank list. However, due to the noise caused by arithmetic rounding and compression, the best-match patch is often not the first one in the rank list. Presume that the correct patch is the n th patch in the rank list.
  • the rank number n will be saved as the metadata for the block. It should be noted that, in the most cases, n is 1 or a very small number because the best-match patch is close to the top in the rank list, therefore the entropy of this random number is significantly smaller than the index of the best-match patch in the library, which should be a uniform distribution having maximum entropy. Therefore, the rank number can be more efficiently encoded by entropy coding.
  • the rank numbers of all the pruned blocks form a rank number sequence as part of the metadata sent to the decoder side.
  • the decoder side should have the exactly the same patch library as the encoder, as the signature of the pruned block will be used to match with the signatures in the patch library and get a rank list (the sorted patch library). The rank number is used to retrieve the correct patch from the sorted patch library. If the patch library is created from previous frames, in order to ensure the encoder and decoder side have exactly the same patch library, the metadata encoding process at the encoder side should also use the decoded frames from the video decoder because only the decoded frames are available at the decoder side.
  • an exemplary method for decoding a patch index is indicated generally by the reference numeral 1900 .
  • a decoded pruned video frame, an encoded patch index, and pruned block IDs are input.
  • a loop is performed for each pruned block.
  • a signature is obtained.
  • the distances to the patches in the patch library are calculated.
  • the patches are sorted to obtain a rank list.
  • the encoded rank number is entropy decoded.
  • the patch index is retrieved from the patch library using the rank number.
  • the decoded patch index is output.
  • the variance threshold is determined by starting from a high threshold value. The algorithm then slowly decrease the variance threshold such that all pruned blocks can be identified by the identification procedure, but false positive blocks may be present in the identified results. Afterwards, if the number of the false positives is larger than that of the pruned blocks, the IDs of the pruned blocks are saved and sent to decoder, otherwise the IDs of the false positives would be sent to the decoder side.
  • the variance threshold for identifying flat blocks is also sent to the decoder side for running the same identification procedure. For the pruning method with causal recovery as described above, the order of the block IDs does not matter, so the ID sequence can be sorted so that the numbers are increasing.
  • the differentiated sequence becomes 3, 1, 1, 3, 5, 1.
  • the differentiation process makes the numbers closer to 1, therefore resulting in a number distribution with smaller entropy.
  • the differentiated sequence then can be further encoded with entropy coding (e.g., Golomb code in our current implementation).
  • entropy coding e.g., Golomb code in our current implementation
  • flag is a signaling flag to indicate whether or not the block ID sequence is a false positive ID sequence
  • the threshold is the variance threshold for flat block identification
  • the encoded block ID sequence is the encoded bit stream of the pruned block IDs or the false positive block IDs
  • the encoded rank number sequence is the encoded bit stream of the rank numbers used for block recovery.
  • the positions of the pruned blocks in the first frame can be propagated to the rest of the frames by motion tracking. Different strategies are tried to propagate the positions of the pruned blocks.
  • One approach is to track the pruned blocks across frames by block matching, and prune the corresponding blocks in the subsequent frames (i.e., replace the tracked blocks with flat blocks).
  • this approach does not result in good compression efficiency gain because, in general, the boundaries of the tracked blocks do not align with the coding macro blocks.
  • the boundaries of the tracked blocks create a high frequency signal in the macro blocks. Therefore, a simpler alternative approach is currently used to set all the block positions for the subsequent frames to the same positions as the first frame. Namely, all the pruned blocks in the subsequent frames are collocated with the pruned blocks in the first frame. As a result, all of the pruned blocks for the subsequent frames are aligned with macro block positions.
  • FIG. 21 an exemplary method for pruning sequent frames is indicated generally by the reference numeral 2100 .
  • a video frame and pruned block IDs are input.
  • collocated blocks are pruned.
  • a loop is performed for each block.
  • a motion vector is calculated to the previous frame.
  • the motion vectors are saved as metadata.
  • FIG. 22 an exemplary motion vector for a pruned block is indicated generally by the reference numeral 2200 .
  • the motion vector 2200 relates to a pruned block in an i-th frame and a co-located block in a (i ⁇ 1)-th frame.
  • the motion vectors of the pruned blocks would be sent to the decoder side for a recovery purpose. Since the previous frame would already have been completely recovered, the pruned blocks in the current frame can be recovered using the motion vectors.
  • the recovery process takes place at the decoder side.
  • the patch library is created before the recovery process by obtaining all the overlapping patches and creating the signatures using the first decoded frame in the GOP.
  • the patch library has to be dynamically updated during the recovery process, because the pruned blocks in the frame will be replaced with the recovered blocks during the recovery process.
  • the recovery process starts with decoding the metadata (see FIG. 23 ), including decoding the block ID sequence (see FIG. 24 ) and the rank order sequence (see FIG. 23 ).
  • FIG. 23 an exemplary method for decoding metadata is indicated generally by the reference numeral 2300 .
  • encoded metadata is input.
  • pruned block IDS are decoded.
  • a patch index is decoded.
  • decoded metadata is output.
  • an exemplary method for decoding pruned block IDs is indicated generally by the reference numeral 2400 .
  • encoded metadata is input.
  • lossless decoding is performed.
  • reverse differentiation is performed.
  • block IDs are output.
  • a low resolution block identification is performed.
  • false positives are removed.
  • block IDs are output.
  • the average color and surrounding pixels of this block will be taken as the signature to match with the signatures in the patch library.
  • the set of surrounding pixels used as the signature for search only includes the pixels from the non-pruned blocks. If all the neighboring blocks are pruned, then only the average color is used as the signature.
  • the matching process is realized by calculating the Euclidean distances between the signature of the query block and those of the patches in the library. After all the distances are calculated, the list is sorted according to the distances, resulting in a rank list. The rank number corresponding to the pruned block then is used to retrieve the correct high-resolution block from the rank list.
  • the apparatus 2500 includes a divider 2505 having an output connected in signal communication with a first input of a search patch library and replacement block device 2510 .
  • An output of a metadata decoder 2515 is connected in signal communication with a second input of the search patch library and replacement block device 2510 .
  • An input of the divider 2505 is available as an input of the apparatus 2500 , for receiving pruned video.
  • An input of the metadata decoder 2515 is available as an input of the apparatus 2500 , for receiving encoded metadata.
  • An output of the search patch library and replacement block device 2510 is available as an output of the apparatus, for outputting recovered video.
  • an exemplary method for recovering a pruned frame is indicated generally by the reference numeral 2600 .
  • a pruned frame and corresponding metadata are input.
  • the pruned frame is divided into non-overlapping blocks.
  • a loop is performed for each block.
  • a patch is found in the library.
  • a current block is replaced with the found patch.
  • the recovered frame is output.
  • the recovery process has to follow the order of the block IDs in the ID sequence so that whenever a block is being recovered, its corresponding patch is available in the patch library. Furthermore, after each block is recovered, the patch library has to be updated, i.e., the patches overlapping with the block have to be replaced with new patches and the signatures for those patches and their neighbors have to be recalculated.
  • an exemplary method for recovering subsequent frames is indicated generally by the reference numeral 2700 .
  • a video frame and pruned block IDs are input.
  • a loop is performed for each block.
  • a motion vector is used to find the patch in the previous frame.
  • the found patch is used to replace the pruned block.
  • Block artifacts may be visible since the recovery process is block-based.
  • a deblocking filter such as the in-loop deblocking filter used in the MPEG-4 AVC Standard encoder, can be applied to reduce the block artifacts.
  • the teachings of the present principles are implemented as a combination of hardware and software.
  • the software may be implemented as an application program tangibly embodied on a program storage unit.
  • the application program may be uploaded to, and executed by, a machine comprising any suitable architecture.
  • the machine is implemented on a computer platform having hardware such as one or more central processing units (“CPU”), a random access memory (“RAM”), and input/output (“I/O”) interfaces.
  • CPU central processing units
  • RAM random access memory
  • I/O input/output
  • the computer platform may also include an operating system and microinstruction code.
  • the various processes and functions described herein may be either part of the microinstruction code or part of the application program, or any combination thereof, which may be executed by a CPU.
  • various other peripheral units may be connected to the computer platform such as an additional data storage unit and a printing unit.

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Abstract

Method and apparatus for encoding a picture in video sequence are disclosed. An apparatus includes a library creator for creating a first library from an original version of the picture and a second library from a reconstructed version of the picture. Each library includes high resolution replacement patches for replacing pruned blocks during a recovery of a pruned version of the picture. A pruner generates the pruned version from the first library. A metadata generator generates metadata from the second library for recovering the pruned version. An encoder encodes the pruned version and metadata. The first library includes patch clusters. The pruned version is generated by dividing the original version into overlapping blocks and searching for candidate patch clusters for each block. A patch dependency graph having nodes and edges is used for the searching. Each node represents a respective block, and each edge represents a respective dependency of the respective block.

Description

  • This application claims the benefit of U.S. Provisional Application Ser. No. 61/403,107 entitled EXAMPLE-BASED DATA PRUNING USING INTRA-FRAME PATCH SIMILARITY filed on Sep. 10, 2010 (Technicolor Docket No. PU100196).
  • This application is related to the following co-pending, commonly-owned, patent applications:
      • (1) International (PCT) Patent Application Serial No. PCT/US11/000107 entitled A SAMPLING-BASED SUPER-RESOLUTION APPROACH FOR EFFICIENT VIDEO COMPRESSION filed on Jan. 20, 2011 (Technicolor Docket No. PU100004);
      • (2) International (PCT) Patent Application Serial No. PCT/US11/000117 entitled DATA PRUNING FOR VIDEO COMPRESSION USING EXAMPLE-BASED SUPER-RESOLUTION filed on Jan. 21, 2011 (Technicolor Docket No. PU100014);
      • (3) International (PCT) Patent Application Serial No. XXXX entitled METHODS AND APPARATUS FOR ENCODING VIDEO SIGNALS USING MOTION COMPENSATED EXAMPLE-BASED SUPER-RESOLUTION FOR VIDEO COMPRESSION filed on Sep. XX, 2011 (Technicolor Docket No. PU100190);
      • (4) International (PCT) Patent Application Serial No. XXXX entitled METHODS AND APPARATUS FOR DECODING VIDEO SIGNALS USING MOTION COMPENSATED EXAMPLE-BASED SUPER-RESOLUTION FOR VIDEO COMPRESSION filed on Sep. XX, 2011 (Technicolor Docket No. PU100266);
      • (5) International (PCT) Patent Application Serial No. XXXX entitled METHODS AND APPARATUS FOR ENCODING VIDEO SIGNALS USING EXAMPLE-BASED DATA PRUNING FOR IMPROVED VIDEO COMPRESSION EFFICIENCY filed on Sep. XX, 2011 (Technicolor Docket No. PU100193);
      • (6) International (PCT) Patent Application Serial No. XXXX entitled METHODS AND APPARATUS FOR DECODING VIDEO SIGNALS USING EXAMPLE-BASED DATA PRUNING FOR IMPROVED VIDEO COMPRESSION EFFICIENCY filed on Sep. XX, 2011 (Technicolor Docket No. PU100267);
      • (7) International (PCT) Patent Application Serial No. XXXX entitled METHODS AND APPARATUS FOR ENCODING VIDEO SIGNALS FOR BLOCK-BASED MIXED-RESOLUTION DATA PRUNING filed on Sep. XX, 2011 (Technicolor Docket No. PU100194);
      • (8) International (PCT) Patent Application Serial No. XXXX entitled METHODS AND APPARATUS FOR DECODING VIDEO SIGNALS FOR BLOCK-BASED MIXED-RESOLUTION DATA PRUNING filed on Sep. XX, 2011 (Technicolor Docket No. PU100268);
      • (9) International (PCT) Patent Application Serial No. XXXX entitled METHODS AND APPARATUS FOR EFFICIENT REFERENCE DATA ENCODING FOR VIDEO COMPRESSION BY IMAGE CONTENT BASED SEARCH AND RANKING filed on Sep. XX, 2011 (Technicolor Docket No. PU100195);
      • (10) International (PCT) Patent Application Serial No. XXXX entitled METHOD AND APPARATUS FOR EFFICIENT REFERENCE DATA DECODING FOR VIDEO COMPRESSION BY IMAGE CONTENT BASED SEARCH AND RANKING filed on Sep. XX, 2011 (Technicolor Docket No. PU110106);
      • (11) International (PCT) Patent Application Serial No. XXXX entitled METHOD AND APPARATUS FOR DECODING VIDEO SIGNALS WITH EXAMPLE-BASED DATA PRUNING USING INTRA-FRAME PATCH SIMILARITY filed on Sep. XX, 2011 (Technicolor Docket No. PU100269);
      • (12) International (PCT) Patent Application Serial No. XXXX entitled PRUNING DECISION OPTIMIZATION IN EXAMPLE-BASED DATA PRUNING COMPRESSION filed on Sep. XX, 2011 (Technicolor Docket No. PU10197).
  • The present principles relate generally to video encoding and decoding and, more particularly, to methods and apparatus for example-based data pruning using intra-frame patch similarity.
  • Data pruning is a video preprocessing technology that achieves better video coding efficiency by removing part of the input video data before the input video data is encoded. The removed video data is recovered at the decoder side by inferring the removed video data from the decoded data. One example of data pruning is image line removal, which removes some of the horizontal and vertical scan lines in the input video.
  • In a first approach, a new data pruning method called example-based data pruning is employed, in which external videos or video frames that have been previously transmitted to the decoder side are used to train an example patch library. The patch library is then used to prune and recover the video data.
  • There have been several efforts to explore using data pruning to increase compression efficiency. For example, in a second approach and a third approach, a texture replacement based method is used to remove texture regions at the encoder side, and re-synthesize the texture regions at the decoder side. Compression efficiency is gained because only synthesis parameters are sent to the decoder, which are smaller than the regular transformation coefficients. In a fourth approach and a fifth approach, spatio-temporal texture synthesis and edge-based inpainting are used to remove some of the regions at the encoder side, and the removed content is recovered at the decoder side, with the help of metadata such as region masks. However, the fourth and fifth approaches need to modify the encoder and decoder so that the encoder/decoder can selectively perform encoding/decoding for some of the regions using the region masks. Therefore, it is not exactly an out-of-loop approach (i.e., the encoder and decoder need to be modified). In a sixth approach, a line removal based method is proposed to rescale a video to a smaller size by selectively removing some of the horizontal or vertical lines in the video with a least-square minimization framework. The sixth approach is an out-of-loop approach, and does not require modification of the encoder/decoder. However, completely removing certain horizontal and vertical lines may result in loss of information or details for some videos.
  • Some preliminary research on data pruning for video compression has been conducted. For example, in a seventh approach, a data pruning scheme using sampling-based super-resolution is presented. The full resolution frame is sampled into several smaller-sized frames, therefore reducing the spatial size of the original video. At the decoder side, the high-resolution frame is re-synthesized from the downsampled frames with the help of metadata received from the encoder side. In an eighth approach, an example-based super-resolution based method for data pruning is presented. A representative patch library is trained from the original video. Afterwards, the video is downsized to a smaller size. The downsized video and the patch library are sent to the decoder side. The recovery process at the decoder side super-resolves the downsized video by example-based super-resolution using the patch library. However because there is substantial redundancy between the patch library and downsized frames, it has been discovered that it may be difficult to achieve compression gain using the eighth approach.
  • In the aforementioned first approach, an example-based data pruning method creates a patch library using the video frames that have been sent to the decoder side and uses the patch library to prune and recover video frames. However, this method does not consider the intra-frame patch dependency, which may happen if there are repetitive textures or patterns in a video frame.
  • In the International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) Moving Picture Experts Group-4 (MPEG-4) Part 10 Advanced Video Coding (AVC) Standard/International Telecommunication Union, Telecommunication Sector (ITU-T) H.264 Recommendation (hereinafter the “MPEG-4 AVC Standard”), intra-frame block prediction is realized by block prediction from the neighboring blocks. However, long-range similarity of non-neighboring blocks is not exploited to increase compression efficiency.
  • These and other drawbacks and disadvantages of these approaches are addressed by the present principles, which are directed to methods and apparatus for example-based data pruning using intra-frame patch similarity.
  • According to an aspect of the present principles, there is provided an apparatus for encoding a picture in a video sequence. The apparatus includes a patch library creator for creating a first patch library from an original version of the picture and a second patch library from a reconstructed version of the picture. Each of the first patch library and the second patch library includes a plurality of high resolution replacement patches for replacing one or more pruned blocks during a recovery of a pruned version of the picture. The apparatus also includes a pruner for generating the pruned version of the picture from the first patch library. The apparatus further includes a metadata generator for generating metadata from the second patch library. The metadata is for recovering the pruned version of the picture. The apparatus additionally includes an encoder for encoding the pruned version of the picture and the metadata. The first patch library includes a plurality of patch clusters, and the pruned version of the picture is generated by dividing the original version of the picture into a plurality of overlapping blocks, searching for candidate patch clusters from among the plurality of patch clusters for each of the plurality of overlapping blocks based on respective distance metrics from each of the plurality of overlapping blocks to respective centers of each of the plurality of patch clusters, identifying a best matching patch from the candidate patch clusters based on one or more criterion, and pruning a corresponding one of the plurality of overlapping blocks to obtain a pruned block there for when a difference between the corresponding one of the plurality of overlapping blocks and the best matching patch is less than a threshold difference. A patch dependency graph having a plurality of nodes and a plurality of edges is used for the searching. Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks, and each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • According to another aspect of the present principles, there is provided a method for encoding a picture in a video sequence. The method includes creating a first patch library from an original version of the picture and a second patch library from a reconstructed version of the picture. Each of the first patch library and the second patch library includes a plurality of high resolution replacement patches for replacing one or more pruned blocks during a recovery of a pruned version of the picture. The method also includes generating the pruned version of the picture from the first patch library. The method further includes generating metadata from the second patch library. The metadata is for recovering the pruned version of the picture. The method additionally includes encoding the pruned version of the picture and the metadata. The first patch library includes a plurality of patch clusters, and the pruned version of the picture is generated by dividing the original version of the picture into a plurality of overlapping blocks, searching for candidate patch clusters from among the plurality of patch clusters for each of the plurality of overlapping blocks based on respective distance metrics from each of the plurality of overlapping blocks to respective centers of each of the plurality of patch clusters, identifying a best matching patch from the candidate patch clusters based on one or more criterion, and pruning a corresponding one of the plurality of overlapping blocks to obtain a pruned block there for when a difference between the corresponding one of the plurality of overlapping blocks and the best matching patch is less than a threshold difference. A patch dependency graph having a plurality of nodes and a plurality of edges is used for the searching. Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks, and each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • According to still another aspect of the present principles, there is provided an apparatus for recovering a pruned version of a picture in a video sequence. The apparatus includes a divider for dividing the pruned version of the picture into a plurality of non-overlapping blocks. The apparatus also includes a metadata decoder for decoding metadata for use in recovering the pruned version of the picture. The apparatus further includes a patch library creator for creating a patch library from a reconstructed version of the picture. The patch library includes a plurality of high resolution replacement patches for replacing the one or more pruned blocks during a recovery of the pruned version of the picture. The apparatus additionally includes a search and replacement device for performing a searching process using the metadata to find a corresponding patch for a respective one of the one or more pruned blocks from among the plurality of non-overlapping blocks and replace the respective one of the one or more pruned blocks with the corresponding patch. The signature is respectively created for each of the one or more pruned blocks, and the pruned version of the picture is recovered by comparing respective distance metrics from signatures for each of the plurality of high resolution patches to signatures for each of the one or more pruned blocks, sorting the respective distance metrics to obtain a rank list for each of the one or more pruned blocks, wherein a rank number in the rank list for a particular one of the one or more pruned blocks is used to retrieve a corresponding one of the plurality of high resolution patches in the patch library to be used to replace the particular one of the one or more pruned blocks. A patch dependency graph having a plurality of nodes and a plurality of edges is used to recover the pruned version of the picture. Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks, and each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • According to a further aspect of the present principles, there is provided a method for recovering a pruned version of a picture in a video sequence. The method includes dividing the pruned version of the picture into a plurality of non-overlapping blocks. The method also includes decoding metadata for use in recovering the pruned version of the picture. The method further includes creating a patch library from a reconstructed version of the picture. The patch library includes a plurality of high resolution replacement patches for replacing the one or more pruned blocks during a recovery of the pruned version of the picture. The method additionally includes performing a searching process using the metadata to find a corresponding patch for a respective one of the one or more pruned blocks from among the plurality of non-overlapping blocks and replace the respective one of the one or more pruned blocks with the corresponding patch. The signature is respectively created for each of the one or more pruned blocks, and the pruned version of the picture is recovered by comparing respective distance metrics from signatures for each of the plurality of high resolution patches to signatures for each of the one or more pruned blocks, sorting the respective distance metrics to obtain a rank list for each of the one or more pruned blocks, wherein a rank number in the rank list for a particular one of the one or more pruned blocks is used to retrieve a corresponding one of the plurality of high resolution patches in the patch library to be used to replace the particular one of the one or more pruned blocks. A patch dependency graph having a plurality of nodes and a plurality of edges is used to recover the pruned version of the picture. Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks, and each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • According to a still further aspect of the present principles, there is provided an apparatus for encoding a picture in a video sequence. The apparatus includes means for creating a first patch library from an original version of the picture and a second patch library from a reconstructed version of the picture. Each of the first patch library and the second patch library includes a plurality of high resolution replacement patches for replacing one or more pruned blocks during a recovery of a pruned version of the picture. The apparatus also includes means for generating the pruned version of the picture from the first patch library. The apparatus further includes means for generating metadata from the second patch library, the metadata for recovering the pruned version of the picture. The apparatus additionally includes means for encoding the pruned version of the picture and the metadata. The first patch library includes a plurality of patch clusters, and the pruned version of the picture is generated by dividing the original version of the picture into a plurality of overlapping blocks, searching for candidate patch clusters from among the plurality of patch clusters for each of the plurality of overlapping blocks based on respective distance metrics from each of the plurality of overlapping blocks to respective centers of each of the plurality of patch clusters, identifying a best matching patch from the candidate patch clusters based on one or more criterion, and pruning a corresponding one of the plurality of overlapping blocks to obtain a pruned block there for when a difference between the corresponding one of the plurality of overlapping blocks and the best matching patch is less than a threshold difference. A patch dependency graph having a plurality of nodes and a plurality of edges is used for the searching. Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks, and each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • According to an additional aspect of the present principles, there is provided an apparatus for recovering a pruned version of a picture in a video sequence. The apparatus includes means for dividing the pruned version of the picture into a plurality of non-overlapping blocks. The apparatus also includes means for decoding metadata for use in recovering the pruned version of the picture. The apparatus further includes means for creating a patch library from a reconstructed version of the picture. The patch library includes a plurality of high resolution replacement patches for replacing the one or more pruned blocks during a recovery of the pruned version of the picture. The apparatus additionally includes means for performing a searching process using the metadata to find a corresponding patch for a respective one of the one or more pruned blocks from among the plurality of non-overlapping blocks and replace the respective one of the one or more pruned blocks with the corresponding patch. The signature is respectively created for each of the one or more pruned blocks, and the pruned version of the picture is recovered by comparing respective distance metrics from signatures for each of the plurality of high resolution patches to signatures for each of the one or more pruned blocks, sorting the respective distance metrics to obtain a rank list for each of the one or more pruned blocks, wherein a rank number in the rank list for a particular one of the one or more pruned blocks is used to retrieve a corresponding one of the plurality of high resolution patches in the patch library to be used to replace the particular one of the one or more pruned blocks. A patch dependency graph having a plurality of nodes and a plurality of edges is used to recover the pruned version of the picture. Each of the plurality of nodes represents a respective one of the plurality of overlapping blocks, and each of the plurality of edges represents a respective dependency of at least the respective one of the plurality of overlapping blocks.
  • These and other aspects, features and advantages of the present principles will become apparent from the following detailed description of exemplary embodiments, which is to be read in connection with the accompanying drawings.
  • The present principles may be better understood in accordance with the following exemplary figures, in which:
  • FIG. 1 is a block diagram showing an exemplary example-based data pruning system using intra-frame patch similarity, in accordance with an embodiment of the present principles;
  • FIG. 2 is a block diagram showing an exemplary video encoder to which the present principles may be applied, in accordance with an embodiment of the present principles;
  • FIG. 3 is a block diagram showing an exemplary video decoder to which the present principles may be applied, in accordance with an embodiment of the present principles;
  • FIG. 4 is a block diagram showing an exemplary first portion for performing encoder side processing in an example-based data pruning system using intra-frame patch similarity, in accordance with an embodiment of the present principles;
  • FIG. 5 is a block diagram showing an exemplary method for clustering and patch library creation, in accordance with an embodiment of the present principles;
  • FIG. 6 is a block diagram showing an exemplary patch library and corresponding clusters, in accordance with an embodiment of the present principles;
  • FIG. 7 is a diagram showing an exemplary signature vector, in accordance with an embodiment of the present principles;
  • FIG. 8 is a block diagram showing an exemplary second portion for performing encoder side processing in an example-based data pruning system using intra-frame patch similarity, in accordance with an embodiment of the present principles;
  • FIG. 9 is a flow diagram showing an exemplary method for video frame pruning, in accordance with an embodiment of the present principles;
  • FIG. 10 is a block diagram showing a patch search process, in accordance with an embodiment of the present principles;
  • FIG. 11 is a diagram showing a block search area in a process of pruning for causal recovery, in accordance with an embodiment of the present principles;
  • FIG. 12 is a diagram showing an exemplary block dependency graph, in accordance with an embodiment of the present principles;
  • FIG. 13 is a flow diagram showing an exemplary method for obtaining a recovery sequence, in accordance with an embodiment of the present principles;
  • FIG. 14 is a diagram showing an exemplary evolution of the dependency graph using the pruning algorithm, in accordance with an embodiment of the present principles;
  • FIG. 15 is a diagram showing an exemplary mixed-resolution frame, in accordance with an embodiment of the present principles;
  • FIG. 16 is a flow diagram showing an exemplary method for encoding metadata, in accordance with an embodiment of the present principles;
  • FIG. 17 is a flow diagram showing an example method for encoding pruned block IDs, in accordance with an embodiment of the present principles;
  • FIG. 18 is a flow diagram showing an exemplary method for encoding a patch index, in accordance with an embodiment of the present principles;
  • FIG. 19 is a flow diagram showing an exemplary method for decoding a patch index, in accordance with an embodiment of the present principles;
  • FIG. 20 is a diagram showing an exemplary block ID, in accordance with an embodiment of the present principles;
  • FIG. 21 is a flow diagram showing an exemplary method for pruning sequent frames, in accordance with an embodiment of the present principles;
  • FIG. 22 is a diagram showing an exemplary motion vector for a pruned block, in accordance with an embodiment of the present principles;
  • FIG. 23 is a flow diagram showing an exemplary method for decoding metadata, in accordance with an embodiment of the present principles;
  • FIG. 24 is a flow diagram showing an exemplary method for decoding pruned block IDs, in accordance with an embodiment of the present principles;
  • FIG. 25 is a block diagram showing an exemplary apparatus for performing decoder side processing for example-based data pruning using intra-frame patch similarity, in accordance with an embodiment of the present principles;
  • FIG. 26 is a flow diagram showing an exemplary method for recovering a pruned frame, in accordance with an embodiment of the present principles; and
  • FIG. 27 is a flow diagram showing an exemplary method for recovering subsequent frames, in accordance with an embodiment of the present principles.
  • The present principles are directed to methods and apparatus for example-based data pruning using intra-frame patch similarity.
  • The present description illustrates the present principles. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described or shown herein, embody the present principles and are included within its spirit and scope.
  • All examples and conditional language recited herein are intended for pedagogical purposes to aid the reader in understanding the present principles and the concepts contributed by the inventor(s) to furthering the art, and are to be construed as being without limitation to such specifically recited examples and conditions.
  • Moreover, all statements herein reciting principles, aspects, and embodiments of the present principles, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future, i.e., any elements developed that perform the same function, regardless of structure.
  • Thus, for example, it will be appreciated by those skilled in the art that the block diagrams presented herein represent conceptual views of illustrative circuitry embodying the present principles. Similarly, it will be appreciated that any flow charts, flow diagrams, state transition diagrams, pseudocode, and the like represent various processes which may be substantially represented in computer readable media and so executed by a computer or processor, whether or not such computer or processor is explicitly shown.
  • The functions of the various elements shown in the figures may be provided through the use of dedicated hardware as well as hardware capable of executing software in association with appropriate software. When provided by a processor, the functions may be provided by a single dedicated processor, by a single shared processor, or by a plurality of individual processors, some of which may be shared. Moreover, explicit use of the term “processor” or “controller” should not be construed to refer exclusively to hardware capable of executing software, and may implicitly include, without limitation, digital signal processor (“DSP”) hardware, read-only memory (“ROM”) for storing software, random access memory (“RAM”), and non-volatile storage.
  • Other hardware, conventional and/or custom, may also be included. Similarly, any switches shown in the figures are conceptual only. Their function may be carried out through the operation of program logic, through dedicated logic, through the interaction of program control and dedicated logic, or even manually, the particular technique being selectable by the implementer as more specifically understood from the context.
  • In the claims hereof, any element expressed as a means for performing a specified function is intended to encompass any way of performing that function including, for example, a) a combination of circuit elements that performs that function or b) software in any form, including, therefore, firmware, microcode or the like, combined with appropriate circuitry for executing that software to perform the function. The present principles as defined by such claims reside in the fact that the functionalities provided by the various recited means are combined and brought together in the manner which the claims call for. It is thus regarded that any means that can provide those functionalities are equivalent to those shown herein.
  • Reference in the specification to “one embodiment” or “an embodiment” of the present principles, as well as other variations thereof, means that a particular feature, structure, characteristic, and so forth described in connection with the embodiment is included in at least one embodiment of the present principles. Thus, the appearances of the phrase “in one embodiment” or “in an embodiment”, as well any other variations, appearing in various places throughout the specification are not necessarily all referring to the same embodiment.
  • It is to be appreciated that the use of any of the following “/”, “and/or”, and “at least one of”, for example, in the cases of “A/B”, “A and/or B” and “at least one of A and B”, is intended to encompass the selection of the first listed option (A) only, or the selection of the second listed option (B) only, or the selection of both options (A and B). As a further example, in the cases of “A, B, and/or C” and “at least one of A, B, and C”, such phrasing is intended to encompass the selection of the first listed option (A) only, or the selection of the second listed option (B) only, or the selection of the third listed option (C) only, or the selection of the first and the second listed options (A and B) only, or the selection of the first and third listed options (A and C) only, or the selection of the second and third listed options (B and C) only, or the selection of all three options (A and B and C). This may be extended, as readily apparent by one of ordinary skill in this and related arts, for as many items listed.
  • Turning to FIG. 1, exemplary example-based data pruning system using intra-frame patch similarity is indicated generally by the reference numeral 100. The pruning system 100 includes a pruner 105 having an output connected in signal communication with an input of a video encoder 110 and a first input of a metadata generator and encoder 135. An output of the video encoder is connected in signal communication with an input of a video decoder 115 and an input of a patch library creator 140. An output of the video decoder 115 is connected in signal communication with a first input of a recovery device 120. An output of the patch library creator 130 is connected in signal communication with a second input of the recovery device 120. An output of the metadata generator and encoder 135 is connected in signal communication with an input of a metadata decoder 125. An output of the metadata decoder 125 is connected in signal communication with a third input of the recovery device 120. An output of the patch library creator 140 is connected in signal communication with a second input of the metadata generator and encoder 135. An output of a clustering device and patch library creator 145 is connected in signal communication with a second input of the pruner 105. An input of the pruner 105 and an input of the clustering device and patch library creator 145 are available as inputs to the pruning system 100, for receiving input video. An output of the recovery device is available as an output of the pruning system 100, for outputting video.
  • Turning to FIG. 2, an exemplary video encoder to which the present principles may be applied is indicated generally by the reference numeral 200. The video encoder 200 includes a frame ordering buffer 210 having an output in signal communication with a non-inverting input of a combiner 285. An output of the combiner 285 is connected in signal communication with a first input of a transformer and quantizer 225. An output of the transformer and quantizer 225 is connected in signal communication with a first input of an entropy coder 245 and a first input of an inverse transformer and inverse quantizer 250. An output of the entropy coder 245 is connected in signal communication with a first non-inverting input of a combiner 290. An output of the combiner 190 is connected in signal communication with a first input of an output buffer 235.
  • A first output of an encoder controller 205 is connected in signal communication with a second input of the frame ordering buffer 210, a second input of the inverse transformer and inverse quantizer 250, an input of a picture-type decision module 215, a first input of a macroblock-type (MB-type) decision module 220, a second input of an intra prediction module 260, a second input of a deblocking filter 265, a first input of a motion compensator 270, a first input of a motion estimator 275, and a second input of a reference picture buffer 280.
  • A second output of the encoder controller 205 is connected in signal communication with a first input of a Supplemental Enhancement Information (SEI) inserter 230, a second input of the transformer and quantizer 225, a second input of the entropy coder 245, a second input of the output buffer 235, and an input of the Sequence Parameter Set (SPS) and Picture Parameter Set (PPS) inserter 240.
  • An output of the SEI inserter 230 is connected in signal communication with a second non-inverting input of the combiner 290.
  • A first output of the picture-type decision module 215 is connected in signal communication with a third input of the frame ordering buffer 210. A second output of the picture-type decision module 215 is connected in signal communication with a second input of a macroblock-type decision module 220.
  • An output of the Sequence Parameter Set (SPS) and Picture Parameter Set (PPS) inserter 240 is connected in signal communication with a third non-inverting input of the combiner 290.
  • An output of the inverse quantizer and inverse transformer 250 is connected in signal communication with a first non-inverting input of a combiner 219. An output of the combiner 219 is connected in signal communication with a first input of the intra prediction module 260 and a first input of the deblocking filter 265. An output of the deblocking filter 265 is connected in signal communication with a first input of a reference picture buffer 280. An output of the reference picture buffer 280 is connected in signal communication with a second input of the motion estimator 275 and a third input of the motion compensator 270. A first output of the motion estimator 275 is connected in signal communication with a second input of the motion compensator 270. A second output of the motion estimator 275 is connected in signal communication with a third input of the entropy coder 245.
  • An output of the motion compensator 270 is connected in signal communication with a first input of a switch 297. An output of the intra prediction module 260 is connected in signal communication with a second input of the switch 297. An output of the macroblock-type decision module 220 is connected in signal communication with a third input of the switch 297. The third input of the switch 297 determines whether or not the “data” input of the switch (as compared to the control input, i.e., the third input) is to be provided by the motion compensator 270 or the intra prediction module 260. The output of the switch 297 is connected in signal communication with a second non-inverting input of the combiner 219 and an inverting input of the combiner 285.
  • A first input of the frame ordering buffer 210 and an input of the encoder controller 205 are available as inputs of the encoder 200, for receiving an input picture. Moreover, a second input of the Supplemental Enhancement Information (SEI) inserter 230 is available as an input of the encoder 200, for receiving metadata. An output of the output buffer 235 is available as an output of the encoder 200, for outputting a bitstream.
  • Turning to FIG. 3, an exemplary video decoder to which the present principles may be applied is indicated generally by the reference numeral 300. The video decoder 300 includes an input buffer 310 having an output connected in signal communication with a first input of an entropy decoder 345. A first output of the entropy decoder 345 is connected in signal communication with a first input of an inverse transformer and inverse quantizer 350. An output of the inverse transformer and inverse quantizer 350 is connected in signal communication with a second non-inverting input of a combiner 325. An output of the combiner 325 is connected in signal communication with a second input of a deblocking filter 365 and a first input of an intra prediction module 360. A second output of the deblocking filter 365 is connected in signal communication with a first input of a reference picture buffer 380. An output of the reference picture buffer 380 is connected in signal communication with a second input of a motion compensator 370.
  • A second output of the entropy decoder 345 is connected in signal communication with a third input of the motion compensator 370, a first input of the deblocking filter 365, and a third input of the intra predictor 360. A third output of the entropy decoder 345 is connected in signal communication with an input of a decoder controller 305. A first output of the decoder controller 305 is connected in signal communication with a second input of the entropy decoder 345. A second output of the decoder controller 305 is connected in signal communication with a second input of the inverse transformer and inverse quantizer 350. A third output of the decoder controller 305 is connected in signal communication with a third input of the deblocking filter 365. A fourth output of the decoder controller 305 is connected in signal communication with a second input of the intra prediction module 360, a first input of the motion compensator 370, and a second input of the reference picture buffer 380.
  • An output of the motion compensator 370 is connected in signal communication with a first input of a switch 397. An output of the intra prediction module 360 is connected in signal communication with a second input of the switch 397. An output of the switch 397 is connected in signal communication with a first non-inverting input of the combiner 325.
  • An input of the input buffer 310 is available as an input of the decoder 300, for receiving an input bitstream. A first output of the deblocking filter 365 is available as an output of the decoder 300, for outputting an output picture.
  • As noted above, the present principles are directed to methods and apparatus for example-based data pruning using intra-frame patch similarity.
  • In accordance with the present principles, this application discloses a new approach that takes advantage of patch similarity within a video frame. The patch similarity within an image happens in many real-world pictures where there are repetitive textures or patterns in the pictures such as, for example, a picture with wall papers as the background. The within-picture patch similarity is discovered by a clustering algorithm, and a patch library is created for pruning and recovery. However, since the same frame is used for both creating patch library and for pruning/recovery, the patch dependency problems have to be resolved in order to ensure artifact-free recovery.
  • The present principles provide an improvement of our previous approach by training the patch library at the decoder side using previously sent frames or existing frames, rather than sending the patch library through one or more communication channels. Moreover, the data pruning is realized by replacing some blocks in the input frames with flat regions to create “mixed-resolution” frames.
  • As noted above, in the MPEG-4 AVC Standard, intra-frame block prediction is realized by block prediction from the neighboring blocks. However, long-range similarity of non-neighboring blocks is not exploited to increase compression efficiency. Advantageously, the present principles provide a method for pruning an input video so that the input video can be more efficiently encoded by a video encoder. The present principles take advantage of the similarity of image patches within a video frame to further increase the compression efficiency.
  • In accordance with the present principles, intra-frame patch similarity is used to train an example patch library and prune a video and recover the pruned video. Error-bounded clustering (the modified K-means clustering) is used for efficient patch searching in the library. To improve compression efficiency, a mixed-resolution data pruning scheme is used, where blocks are replaced by flat blocks to reduce the high-frequency signal.
  • The present principles may involve the use of patch signature matching, a matching rank list, and rank number encoding to increase the efficiency of metadata (best-match patch position in library) encoding. Moreover, a method is disclosed for encoding the block coordinates using the flat block identification based on color variation.
  • Referring back to FIG. 1, one difference between the present principles and the aforementioned first approach is that the input video frame for pruning is also used for patch library creation. In the pruning system 100, the encoder-side processing component can be considered to include two parts, namely a patch library creation part and a pruning part. For the encoder side, two patch libraries are generated at the encoder side, one patch library from the original frame, the other patch library from the reconstructed frame (i.e., a pruned, encoded and then decoded frame). The latter is exactly the same as the patch library created at the encoder side in that they use exactly the same frame (i.e., the reconstructed frame) to generate the patch libraries. At the encoder side, the patch library created using the original frame is used to prune the blocks, whereas the patch library created using the reconstructed frame is used to encode metadata. The reason of using a patch library created from the reconstructed frame is to make sure the patch libraries for encoding and decoding metadata are identical at the encoder and decoder side. For the patch library created using the original frames, a clustering algorithm is performed to group the patches so that the patch search process during pruning can be efficiently carried out. Pruning is a process to modify the source video using the patch library so that less bits are sent to the decoder side. Pruning is realized by dividing a video frame into blocks, and replacing some of the blocks with flat blocks. The pruned frame is then taken as the input for a video encoder. An example video encoder to which the present principles may be applied is shown in FIG. 2 described above.
  • Referring back to FIG. 1, the decoder-side processing component of the pruning system 100 can also be considered to include two parts, namely a patch library creation part and a recovery part. Patch library creation is a process to create a patch library that is exactly the same as the library used for pruning at the encoder side. This is ensured by using exactly the same frame (i.e., the reconstructed pruned frame) for patch library creation. The recovery component is a process to recover the pruned content in the decoded pruned frames sent from the encoder side. An example video encoder to which the present principles may be applied is shown in FIG. 3 described above.
  • Patch Library Creation
  • Turning to FIG. 4, an exemplary first portion for performing encoder side processing in an example-based data pruning system using intra-frame patch similarity is indicated generally by the reference numeral 400. The first portion 400 includes a divider 410 having an output in signal communication with an input of a clustering device 420. An input of the divider is available as an input to the first portion 400, for receiving the first frame in a GOP. An output of the clustering device 420 is available as an output of the first portion 400, for outputting clusters and a patch library.
  • Turning to FIG. 5, an exemplary method for clustering and patch library creation is indicated generally by the reference numeral 500. At step 505, a training video frame is input. At step 510, the training video frame is divided (by divider 410) into overlapping blocks. At step 515, blocks without high-frequency details are removed (by the clustering device 420). At step 520, the blocks are clustered (by the clustering device 420). At step 525, clusters and a patch library are output.
  • The patch library is a pool of high resolution patches that can be used to recover pruned image blocks. Turning to FIG. 6, an exemplary patch library and corresponding clusters are indicated generally by the reference numeral 600. The patch library is specifically indicated by the reference numeral 610, and includes a signature portion 611 and a high resolution patch portion 612. For the encoder side processing, two patch libraries are generated, one patch library for pruning, the other patch library for metadata encoding. The patch library for pruning is generated using the original frame, whereas the patch library for metadata encoding is generated using the reconstructed frame. For the patch library for pruning, the patches in the library are grouped into clusters so that the pruning search process can be efficiently performed. The video frames used for library creation are divided into overlapping blocks to form a training data set. The training data is first cleaned up by removing all blocks that do not include high-frequency details. A modified K-means clustering algorithm is used to group the patches in the training data set into clusters. For each cluster, the cluster center is the average of the patches in the cluster, and is used for matching to an incoming query during the pruning process. The modified K-means clustering algorithm guarantees that the error between any patch within a cluster and its cluster center is smaller than a specified threshold. The modified K-means clustering algorithm could be replaced by any similar clustering algorithm which ensures the error bound in the clusters.
  • To speed up computation, the horizontal and vertical dimensions of the training frames are reduced to one quarter of the original size. Also, the clustering process is performed on the patches in the downsized frames. In one exemplary embodiment, the size of the high-resolution patches is 16×16 pixels, and the size of the downsized patches is 4×4 pixels. Therefore, the downsize factor is 4. Of course, other sizes can be used, while maintaining the spirit of the present principles.
  • For the patch library for metadata encoding, the clustering process and clean-up process are not performed, therefore it includes all possible patches from the reconstructed frame. However, for every patch in the patch library created from the original frames, its corresponding patch can be found in the patch library created from the reconstructed frame using the coordinates of the patches. This would make sure that metadata encoding can be correctly performed. For the decoder side, the same patch library without clustering is created using the same decoded video frames for metadata decoding and pruned block recovery.
  • For the patch libraries created using decoded frames at both the encoder and decoder side, another process is conducted to create the signatures of the patches. The signature of a patch is a feature vector that includes the average color of the patch and the surrounding pixels of the patch. The patch signatures are used for the metadata encoding process to more efficiently encode the metadata, and used in the recovery process at the decoder side to find the best-match patch and more reliably recover the pruned content. Turning to FIG. 7, an exemplary signature vector is indicated generally by the reference numeral 700. The signature vector 700 includes an average color 701 and surrounding pixels 702.
  • The metadata encoding process is described herein below. In the pruned frame, sometimes the neighboring blocks of a pruned block for recovery or metadata encoding are also pruned. Then the set of surrounding pixels used as the signature for search in the patch library only includes the pixels from the non-pruned blocks. If all the neighboring blocks are pruned, then only the average color 701 is used as the signature. This may end up with bad patch matches since too little information is used for patch matching, that is why neighboring non-pruned pixels 702 are important.
  • Pruning Process
  • Similar to standard video encoding algorithms, the input video frames are divided into Group of Pictures (GOP). The pruning process is conducted on the first frame of a GOP. The pruning result is propagated to the rest of the frames in the GOP afterwards.
  • Pruning Process for the First Frame in a GOP
  • Turning to FIG. 8, an exemplary second portion for performing encoder side processing in an example-based data pruning system using intra-frame patch similarity is indicated generally by the reference numeral 800. The second portion 800 includes a divider 805 having an output in signal communication with an input of a patch library searcher 810. An output of the patch library searcher 810 is connected in signal communication with an input of a video encoder 815, a first input of a metadata generator 830, and a first input of a metadata encoder 825. An output of the metadata generator 830 is connected in signal communication with a second input of the metadata encoder 825. A first output of the video encoder 815 is connected in signal communication with a second input of the metadata generator 830. An input of the divider 805 is available as an input of the second portion 800, for receiving an input frame. An output of the video encoder 815 is available as an output of the second portion 800, for outputting an encoded video frame. An output of the metadata encoder 825 is available as an output of the second portion 800, for outputting encoded metadata.
  • Turning to FIG. 9, an exemplary method for pruning a video frame is indicated generally by the reference numeral 900. At step 905, a video frame is input. At step 910, the video frame is divided into non-overlapping blocks. At step 915, a loop is performed for each block. At step 920, a search is performed in the patch library. At step 925, it is determined whether or not a patch has been found. If so, then the method proceeds to step 930. Otherwise, the method returns to step 915. At step 930, the block is pruned. At step 935, it is determined whether or not all blocks have been finished. If so, then the method proceeds to step 940. Otherwise, the method returns to step 915. At step 940, the pruned frame and corresponding metadata are output.
  • Thus, the input frame is first divided into non-overlapping blocks per step 910. The size of the block is the same as the size of the macroblock used in the standard compression algorithms, in our current implementation, 16×16 pixels. A search process then is followed to find the best-match patch in the patch library per step 920. This search process is illustrated in FIG. 10. Turning to FIG. 10, a patch search process performing during pruning is indicated generally by the reference numeral 1000. The patch search process 1000 involves a patch library 1010 which, in turn, includes a signature portion 1011 and a high resolution patch portion 1012. First, the block is matched with the centers of the clusters by calculating the Euclidean distance, and finding the top K matched clusters. Currently, K is determined empirically. In principle, K is determined by the error bound of the clusters. Of course, other approaches to calculating K may also be used in accordance with the teachings of the present principles. After the candidate clusters are indentified, the search process is conducted within the clusters until the best-match patch is found in the clusters. If the difference between the best-match patch and the query block is sufficiently small, the block would be pruned. Otherwise, the block will be kept intact.
  • The preceding approach is different from the aforementioned first approach, since in the first approach the patches in the input frames are used to create patch library and recover the pruned blocks, thus resulting in block dependency problem, meaning that the needed patches for recovery may not be available when a block is being recovered. This problem is solved by following two solutions provided by the present principles: pruning with causal recovery; and pruning using a dependency graph.
  • a) Pruning for Causal Recovery
  • In the case of pruning with causal recovery, for a pruned block, the search process (also the recovery process at the decoder side) will only look at the patches preceding the pruned block in the coordinates in the patch library. Turning to FIG. 11, a block search area in a process of pruning for causal recovery is indicated generally by the reference numeral 1100. The block search area 1100 includes an example patch 1110 and a candidate block 1120. The patches preceding the pruning block (the candidate block 1120) are within the shaded area in FIG. 11. In recovery, by the time the pruned block 1120 is being recovered, all blocks within the shaded area have been recovered, therefore all patches within the shaded area should be available.
  • b) Pruning with Dependency Graph
  • The limitation of the above approach is that there may be no example patches available for the blocks at the top of a frame. This problem may be solved by a full-frame patch search with the help of a patch dependency graph. The patch dependency graph is a directed acyclic graph (DAG), where each node of the graph represents a candidate block for pruning, and each edge represents the dependency of the blocks. Turning to FIG. 12, an exemplary block dependency graph is indicated generally by the reference numeral 1200. In FIG. 12, each circle is a node of the dependency graph, which represents a block in a video frame. The arrows (edges of the graph) between the circles indicate the dependencies of the blocks. If an arrow starts from one circle and points to another, then the circle that the arrow starts from is dependent on the circle that the arrow points to. If a circle does not have any arrow pointing to any other circle, the corresponding block is an unpruned block that does not need recovery after decoding. The dependency graph 1200 is created during the block search process. For a candidate block, after the block search process, if the best-match patch is found, then an edge that points from the candidate block to the blocks overlapping with the best-match patches would be created in the dependency graph. After the search process is done for all the candidate blocks, a process is carried out to obtain the recovery sequence of the pruned blocks. Turning to FIG. 13, an exemplary method for obtaining a recovery sequence is indicated generally by the reference numeral 1300. At step 1305, a block dependency graph is input. At step 1310, end nodes are found in the block dependency graph. At step 1315, block IDs are saved and end nodes are removed. At step 1320, it is determined whether or not any end nodes remain. If so, then the method proceeds to step 1325. Otherwise, the method returns to step 1310. At step 1325, it is determined whether or not the graph is empty. If so, then the method proceeds to step 1330. Otherwise, the method proceeds to step 1335. At step 1330, the block IDs are output and saved as a recovery sequence. At step 1335, a node with the maximum indegree is found. At step 1340, the node is removed from the block dependency graph.
  • The method for obtaining a recovery sequence is further described as follows:
  • 1. Find all end nodes (i.e., the nodes that do not depend on other nodes) in the graph and save the corresponding block coordinates (here the block coordinates are represented as the block IDs as shown in FIG. 12) of all the end nodes. After the block IDs are saved, the corresponding nodes are removed from the dependency graph. The procedure repeats until all end nodes are removed. If the dependency graph is empty, the algorithm ends, otherwise the algorithm goes to step (2).
  • 2. Find a node in the graph with maximum indegree, i.e., a node corresponding to the block upon which depends a maximum number of other blocks. Remove the node in the graph, do not save the IDs of the block (i.e., the block will not be pruned). Repeat this procedure until there are new end nodes emerging in the graph. Then the algorithm goes back to step (1). The block is not pruned because the block cannot be recovered using the available pixels (decoded pixels and recovered pixels) in the frame. On the other hand, other blocks may depend on this block to recover. Therefore, in order to prune maximum number of blocks, the block upon which depends the maximum number of other blocks is found. After the block is kept unpruned (i.e., removed from the graph), there may be new end nodes emerging, and then step (1) can be used to prune the block again.
  • Turning to FIG. 14, an exemplary evolution of the dependency graph using the pruning algorithm is indicated generally by the reference numeral 1400. The evolution involves the graph before pruning 1410, the graph after step (1) is performed (1420), and the graph after step (2) is performed (1430).
  • By using the above algorithm, a block recovery sequence which ensures that the best-matching patch is available will be obtained when a corresponding block is being recovered during the recovery process.
  • After the blocks are identified for pruning, a process is conducted to prune the block. There could be different pruning strategies. For example, replacing the high-resolution blocks with low-resolution blocks may be one strategy that is used. However, it is discovered that it is difficult for this approach to achieve significant compression efficiency gain. Therefore, in the current system, a high-resolution block is simply replaced with a flat block, in which all pixels have the same color value, which is the average of the color values of the pixels within the original block. The block replacement process creates a video frame where some parts of the frame have high-resolution and some parts have low-resolution; therefore, such a frame is called as mixed-resolution frame. Turning to FIG. 15, an exemplary mixed-resolution frame is indicated generally by the reference numeral 1500. Our experiments show that such flat-block replacement scheme is quite effective to gain compression efficiency. The flat block replacement scheme could be replaced by a low-resolution block replacement scheme, where the block for pruning is replaced by its low-resolution version.
  • Metadata Encoding and Decoding
  • Metadata encoding includes two components (see FIG. 16), one for encoding pruned block IDs (see FIG. 17), the other for encoding patch index (see FIG. 18), which are the results of searching patch library for each block during the pruning process.
  • Turning to FIG. 16, an exemplary method for encoding metadata is indicated generally by the reference numeral 1600. At step 1605, a decoded pruned video frame, pruned block IDs, and a patch index for each block are input. At step 1610, pruned block IDs are encoded. At step 1615, the patch index is encoded. At step 1620, the encoded metadata is output.
  • Turning to FIG. 17, an example method for encoding pruned block IDs is indicated generally by the reference numeral 1700. At step 1705, a pruned frame and pruned block IDs are input. At step 1710, a low-resolution block identification is performed. At step 1720, it is determined whether or not there are any misses. If so, then the method proceeds to step 1725. Otherwise, the method proceeds to step 1715. At step 1725, it is determined whether or not the number of false positives is more than the number of pruned blocks. If so, then the method proceeds to step 1630. Otherwise, control proceeds to step 1735. At step 1730, the pruned block sequence is used, and a flag is set equal to zero. At step 1740, a differentiation is performed. At step 1745, lossless encoding is performed. At step 1750, the encoded metadata is output. At step 1715, a threshold is adjusted. At step 1735, the false positive sequence is used, and the flag is set equal to one.
  • Turning to FIG. 18, an exemplary method for encoding a patch index is indicated generally by the reference numeral 1800. At step 1805, a decoded pruned video frame and a patch index for each block are input. At step 1810, a loop is performed for each pruned block. At step 1815, a signature is obtained. At step 1820, the distances to the patches in the patch library are calculated. At step 1825, the patches are sorted to obtain a rank list. At step 1830, the rank number is obtained. At step 1835, the rank number is entropy coded. At step 1840, it is determined whether or not all blocks are finished (being processed). If so, then the method proceeds to step 1845. Otherwise, the method returns to step 1810. At step 1845, the encoded patch index is output.
  • During the pruning process, for each block, the system would search the best match patch in the patch library and output a patch index in the patch library for a found patch if the distortion is less than a threshold. Each patch is associated with its signature (i.e., its color plus surrounding pixels in the decoded frames). During the recovery process in the decoder side processing, the color of the pruned block and its surrounding pixels are used as a signature to find the correct high-resolution patch in the library.
  • However, due to noise, the search process using the signature is not reliable, and metadata is needed to assist the recovery process to ensure reliability. Therefore, after the pruning process, the system will proceed to generate metadata for assisting recovery. For each pruned block, the search process described above already identifies the corresponding patches in the library. The metadata encoding component will simulate the recovery process to encode the metadata. A new patch library will be created using the decoded pruned frame to ensure the patch library is exactly the same as that in the decoder side. The frame is divided into overlapping patches and signatures are created for the patches. During the recovery simulation process, the patch library has to be dynamically updated because some pruned blocks will be recovered during the process. The process is illustrated in FIG. 17. Thus, referring back to FIG. 18, for each pruned block, its query signature (the average color of the pruned block plus the surrounding pixels) will be used to match the signatures of the patches in the library. For each block, the distances (e.g., Euclidean, although, of course, other distance metrics may be used) between the query vector and the signatures of the patches in the library are calculated. The patches are sorted according to the distances, resulting in a rank list. In the ideal case, the best-match high-resolution patch should be at the top of the rank list. However, due to the noise caused by arithmetic rounding and compression, the best-match patch is often not the first one in the rank list. Presume that the correct patch is the nth patch in the rank list. The rank number n will be saved as the metadata for the block. It should be noted that, in the most cases, n is 1 or a very small number because the best-match patch is close to the top in the rank list, therefore the entropy of this random number is significantly smaller than the index of the best-match patch in the library, which should be a uniform distribution having maximum entropy. Therefore, the rank number can be more efficiently encoded by entropy coding. The rank numbers of all the pruned blocks form a rank number sequence as part of the metadata sent to the decoder side. It is observed from the actual experiments that the distribution of the rank numbers is close to a geometric distribution, therefore currently the Golomb code is used for further encoding the rank number sequence, since Golomb code is optimal for a random number having geometric distribution. Of course, other types of codes may also be used in accordance with the teachings of the present principles, while maintaining the spirit of the present principles.
  • For decoding (see FIG. 19), the decoder side should have the exactly the same patch library as the encoder, as the signature of the pruned block will be used to match with the signatures in the patch library and get a rank list (the sorted patch library). The rank number is used to retrieve the correct patch from the sorted patch library. If the patch library is created from previous frames, in order to ensure the encoder and decoder side have exactly the same patch library, the metadata encoding process at the encoder side should also use the decoded frames from the video decoder because only the decoded frames are available at the decoder side.
  • Turning to FIG. 19, an exemplary method for decoding a patch index is indicated generally by the reference numeral 1900. At step 1905, a decoded pruned video frame, an encoded patch index, and pruned block IDs are input. At step 1910, a loop is performed for each pruned block. At step 1915, a signature is obtained. At step 1920, the distances to the patches in the patch library are calculated. At step 1925, the patches are sorted to obtain a rank list. At step 1930, the encoded rank number is entropy decoded. At step 1935, the patch index is retrieved from the patch library using the rank number. At step 1940, it is determined whether or not all blocks are finished (being processed). If so, then the method proceeds to step 1945. Otherwise, the method returns to step 1910. At step 1945, the decoded patch index is output.
  • Besides the rank number metadata, it is necessary to send the locations of the pruned blocks to the decoder side. This is done by block ID encoding (see FIG. 17). One simple way is to just send a block ID sequence to the decoder side. The ID of a block indicates the coordinate of the block on the frame. Turning to FIG. 20, an exemplary block ID is indicated generally by the reference numeral 2000. However, it is also possible to more efficiently encode the ID sequence of the pruned blocks. Since the pruned blocks are flat and do not include any high-frequency components, it is possible to detect the pruned blocks by calculating the color variation within the blocks. If the color variation is smaller than a threshold, then the block is identified as a pruned block. However, since such an identification process is not reliable due to noise caused by compression, metadata is needed to facilitate the identification process. First, the variance threshold is determined by starting from a high threshold value. The algorithm then slowly decrease the variance threshold such that all pruned blocks can be identified by the identification procedure, but false positive blocks may be present in the identified results. Afterwards, if the number of the false positives is larger than that of the pruned blocks, the IDs of the pruned blocks are saved and sent to decoder, otherwise the IDs of the false positives would be sent to the decoder side. The variance threshold for identifying flat blocks is also sent to the decoder side for running the same identification procedure. For the pruning method with causal recovery as described above, the order of the block IDs does not matter, so the ID sequence can be sorted so that the numbers are increasing.
  • To further reduce redundancy, it is possible to have a differential coding scheme to compute the difference between an ID number to its previous ID number, and encode the difference sequence. For example, assuming the ID sequence is 3, 4, 5, 8, 13, 14, the differentiated sequence becomes 3, 1, 1, 3, 5, 1. The differentiation process makes the numbers closer to 1, therefore resulting in a number distribution with smaller entropy. The differentiated sequence then can be further encoded with entropy coding (e.g., Golomb code in our current implementation). Thus, the format of the final metadata is shown as follows:
  • Figure US20130170564A1-20130704-C00001
  • where flag is a signaling flag to indicate whether or not the block ID sequence is a false positive ID sequence, the threshold is the variance threshold for flat block identification, the encoded block ID sequence is the encoded bit stream of the pruned block IDs or the false positive block IDs, and the encoded rank number sequence is the encoded bit stream of the rank numbers used for block recovery.
  • Pruning Process for the Rest of the Frames in a GOP
  • For the rest of the frames in a GOP, some of the blocks in the frames will be also replaced by flat blocks. The positions of the pruned blocks in the first frame can be propagated to the rest of the frames by motion tracking. Different strategies are tried to propagate the positions of the pruned blocks. One approach is to track the pruned blocks across frames by block matching, and prune the corresponding blocks in the subsequent frames (i.e., replace the tracked blocks with flat blocks). However, this approach does not result in good compression efficiency gain because, in general, the boundaries of the tracked blocks do not align with the coding macro blocks. As a result, the boundaries of the tracked blocks create a high frequency signal in the macro blocks. Therefore, a simpler alternative approach is currently used to set all the block positions for the subsequent frames to the same positions as the first frame. Namely, all the pruned blocks in the subsequent frames are collocated with the pruned blocks in the first frame. As a result, all of the pruned blocks for the subsequent frames are aligned with macro block positions.
  • However, this approach would not work well if there is motion in the pruned blocks. Therefore, one solution to solve the problem is to detect calculate the motion intensity of the block (see FIG. 21). Turning to FIG. 21, an exemplary method for pruning sequent frames is indicated generally by the reference numeral 2100. At step 2105, a video frame and pruned block IDs are input. At step 2110, collocated blocks are pruned. At step 2115, a loop is performed for each block. At step 2120, a motion vector is calculated to the previous frame. At step 2125, the motion vectors are saved as metadata. At step 2130, it is determined whether or not all blocks are finished (being processed). If so, then the method proceeds to step 2135. Otherwise, the method returns to step 2115.
  • If the motion intensity is larger than a threshold, the block would not be pruned. Another more sophisticated solution, which is our current implementation, is to calculate the motion vectors of the pruned blocks in the original video by finding the corresponding block in the previous frame (see FIG. 22). Turning to FIG. 22, an exemplary motion vector for a pruned block is indicated generally by the reference numeral 2200. The motion vector 2200 relates to a pruned block in an i-th frame and a co-located block in a (i−1)-th frame. The motion vectors of the pruned blocks would be sent to the decoder side for a recovery purpose. Since the previous frame would already have been completely recovered, the pruned blocks in the current frame can be recovered using the motion vectors. To avoid artifacts, if the difference between the block in the current frame and the corresponding patch block calculated by motion estimation in the previous frame is too large, then the block in the current frame would not be pruned. Furthermore, subpixel motion estimation is currently used to make motion vector based recovery more accurate. Our experiments show that the resultant visual quality using subpixel based motion vector estimation is much better than that using regular pixel based motion vector estimation.
  • Recovery Process
  • The recovery process takes place at the decoder side. The patch library is created before the recovery process by obtaining all the overlapping patches and creating the signatures using the first decoded frame in the GOP. However, different from the aforementioned first approach, the patch library has to be dynamically updated during the recovery process, because the pruned blocks in the frame will be replaced with the recovered blocks during the recovery process.
  • For the first frame in a GOP, the recovery process starts with decoding the metadata (see FIG. 23), including decoding the block ID sequence (see FIG. 24) and the rank order sequence (see FIG. 23). Turning to FIG. 23, an exemplary method for decoding metadata is indicated generally by the reference numeral 2300. At step 2305, encoded metadata is input. At step 2310, pruned block IDS are decoded. At step 2315, a patch index is decoded. At step 2320, decoded metadata is output.
  • Turning to FIG. 24, an exemplary method for decoding pruned block IDs is indicated generally by the reference numeral 2400. At step 2405, encoded metadata is input. At step 2410, lossless decoding is performed. At step 2415, reverse differentiation is performed. At step 2420, it is determined whether or not a flag is equal to zero. If so, then the method proceeds to step 2425. Otherwise, the method proceeds to step 2430. At step 2425, block IDs are output. At step 2430, a low resolution block identification is performed. At step 2435, false positives are removed. At step 2440, block IDs are output.
  • After the block ID sequence is available, for each pruned block, the average color and surrounding pixels of this block will be taken as the signature to match with the signatures in the patch library. However, if the neighboring blocks of the block for recovery are also pruned, then the set of surrounding pixels used as the signature for search only includes the pixels from the non-pruned blocks. If all the neighboring blocks are pruned, then only the average color is used as the signature. The matching process is realized by calculating the Euclidean distances between the signature of the query block and those of the patches in the library. After all the distances are calculated, the list is sorted according to the distances, resulting in a rank list. The rank number corresponding to the pruned block then is used to retrieve the correct high-resolution block from the rank list.
  • Turning to FIG. 25, an exemplary apparatus for performing decoder side processing for example-based data pruning using intra-frame patch similarity is indicated generally by the reference numeral 2500. The apparatus 2500 includes a divider 2505 having an output connected in signal communication with a first input of a search patch library and replacement block device 2510. An output of a metadata decoder 2515 is connected in signal communication with a second input of the search patch library and replacement block device 2510. An input of the divider 2505 is available as an input of the apparatus 2500, for receiving pruned video. An input of the metadata decoder 2515 is available as an input of the apparatus 2500, for receiving encoded metadata. An output of the search patch library and replacement block device 2510 is available as an output of the apparatus, for outputting recovered video.
  • Turning to FIG. 26, an exemplary method for recovering a pruned frame is indicated generally by the reference numeral 2600. At step 2605, a pruned frame and corresponding metadata are input. At step 2610, the pruned frame is divided into non-overlapping blocks. At step 2615, a loop is performed for each block. At step 2620, it is determined whether or not the current block is a pruned block. If so, then the method proceeds to step 2625. Otherwise, the method returns to step 2615. At step 2625, a patch is found in the library. At step 2630, a current block is replaced with the found patch. At step 2635, it is determined whether or not all blocks are finished (being processed). If so, then the method proceeds to step 2640. Otherwise, the method returns to step 2615. At step 2640, the recovered frame is output.
  • It is to be appreciated that the block recovery using example patches can be replaced by traditional inpainting and texture synthesis based methods.
  • Note that for the pruning scheme with dependency graph as described above, the recovery process has to follow the order of the block IDs in the ID sequence so that whenever a block is being recovered, its corresponding patch is available in the patch library. Furthermore, after each block is recovered, the patch library has to be updated, i.e., the patches overlapping with the block have to be replaced with new patches and the signatures for those patches and their neighbors have to be recalculated.
  • For the rest of the frames in a GOP, for each pruned block, if the motion vector is not available, the content of the block can be copied from the co-located block in the previous frame. If the motion vector is available, then it is possible to use the motion vector to find the corresponding block in the previous frame, and copy the corresponding block to fill the pruned block. Turning to FIG. 27, an exemplary method for recovering subsequent frames is indicated generally by the reference numeral 2700. At step 2705, a video frame and pruned block IDs are input. At step 2710, a loop is performed for each block. At step 2715, a motion vector is used to find the patch in the previous frame. At step 2720, the found patch is used to replace the pruned block. At step 2725, it is determined whether or not all blocks are finished (being processed). If so, then the method proceeds to step 2730. Otherwise, the method returns to step 2710.
  • Block artifacts may be visible since the recovery process is block-based. A deblocking filter, such as the in-loop deblocking filter used in the MPEG-4 AVC Standard encoder, can be applied to reduce the block artifacts.
  • These and other features and advantages of the present principles may be readily ascertained by one of ordinary skill in the pertinent art based on the teachings herein. It is to be understood that the teachings of the present principles may be implemented in various forms of hardware, software, firmware, special purpose processors, or combinations thereof.
  • Most preferably, the teachings of the present principles are implemented as a combination of hardware and software. Moreover, the software may be implemented as an application program tangibly embodied on a program storage unit. The application program may be uploaded to, and executed by, a machine comprising any suitable architecture. Preferably, the machine is implemented on a computer platform having hardware such as one or more central processing units (“CPU”), a random access memory (“RAM”), and input/output (“I/O”) interfaces. The computer platform may also include an operating system and microinstruction code. The various processes and functions described herein may be either part of the microinstruction code or part of the application program, or any combination thereof, which may be executed by a CPU. In addition, various other peripheral units may be connected to the computer platform such as an additional data storage unit and a printing unit.
  • It is to be further understood that, because some of the constituent system components and methods depicted in the accompanying drawings are preferably implemented in software, the actual connections between the system components or the process function blocks may differ depending upon the manner in which the present principles are programmed. Given the teachings herein, one of ordinary skill in the pertinent art will be able to contemplate these and similar implementations or configurations of the present principles.
  • Although the illustrative embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the present principles is not limited to those precise embodiments, and that various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the scope or spirit of the present principles. All such changes and modifications are intended to be included within the scope of the present principles as set forth in the appended claims.

Claims (30)

1. An apparatus for encoding a picture in a video sequence, comprising:
a patch library creator for creating a first patch library from an original version of said picture and a second patch library from a reconstructed version of said picture, each of said first patch library and said second patch library including a plurality of high resolution replacement patches for replacing one or more pruned blocks during a recovery of a pruned version of said picture; and
a pruner for generating said pruned version of said picture from said first patch library;
a metadata generator for generating metadata from said second patch library, said metadata for recovering said pruned version of said picture; and
an encoder for encoding said pruned version of said picture and said metadata,
wherein said first patch library includes a plurality of patch clusters, and said pruned version of said picture is generated by dividing said original version of said picture into a plurality of overlapping blocks, searching for candidate patch clusters from among said plurality of patch clusters for each of said plurality of overlapping blocks based on respective distance metrics from each of said plurality of overlapping blocks to respective centers of each of said plurality of patch clusters, identifying a best matching patch from said candidate patch clusters based on one or more criterion, and pruning a corresponding one of said plurality of overlapping blocks to obtain a pruned block there for when a difference between said corresponding one of said plurality of overlapping blocks and said best matching patch is less than a threshold difference, and
wherein a patch dependency graph having a plurality of nodes and a plurality of edges is used for said searching, each of said plurality of nodes representing a respective one of said plurality of overlapping blocks, and each of said plurality of edges representing a respective dependency of at least said respective one of said plurality of overlapping blocks.
2. The apparatus of claim 1, wherein said pruned version of said picture is generated by dividing said original version of said picture into a plurality of blocks, and respectively replacing at least one of said plurality of blocks with a replacement patch, wherein all pixels in said replacement patch have one of a same color value or a low resolution.
3. The apparatus of claim 2, wherein said same color value is equal to an average of color values of said pixels within said at least one of said plurality of blocks.
4. The apparatus of claim 1, wherein said first patch library is created by dividing said original version of said picture into a plurality of overlapping blocks to form a training data set, removing any of said plurality of overlapping blocks from said training set having a high frequency component above a pre-specified threshold, and clustering remaining ones of said plurality of overlapping blocks into a plurality of clusters, wherein each of said remaining ones of said plurality of overlapping blocks form a respective one of said plurality of high resolution replacement patches.
5. The apparatus of claim 4, wherein a respective center of a respective one of said plurality of clusters corresponds to an average of any of said remaining ones of said plurality of overlapping blocks included in said respective one of said plurality of clusters.
6. The apparatus of claim 5, wherein said remaining ones of said plurality of overlapping blocks are downsized prior to said clustering to obtain a plurality of downsized overlapping blocks, said clustering is performed on said plurality downsized overlapping blocks, and said respective center of said respective one of said plurality of clusters corresponds to said average of any of said plurality of downsized overlapping blocks included in said respective one of said plurality of clusters.
7. The apparatus of claim 1, wherein a signature is respectively created for each of said plurality of high resolution patches included in said second patch library by generating a feature vector there for that includes an average color for a respective one of said plurality of high resolution patches.
8. The apparatus of claim 7, wherein said average color included in said feature vector for said respective one of said plurality of high resolution patches is further of surrounding pixels with respect to said respective one of said plurality of high resolution patches.
9. The apparatus of claim 1, wherein only patches preceding a co-located patch with respect to said corresponding one of said plurality of overlapping blocks are used for said searching.
10. The apparatus of claim 1, wherein said metadata comprises a patch index for said best matching patch when said difference between said corresponding one of said plurality of overlapping blocks and said best matching patch is less than said threshold difference, said metadata further comprising a block identifier for said pruned block.
11. A method for encoding a picture in a video sequence, comprising:
creating a first patch library from an original version of said picture and a second patch library from a reconstructed version of said picture, each of said first patch library and said second patch library including a plurality of high resolution replacement patches for replacing one or more pruned blocks during a recovery of a pruned version of said picture; and
generating said pruned version of said picture from said first patch library;
generating metadata from said second patch library, said metadata for recovering said pruned version of said picture; and
encoding said pruned version of said picture and said metadata,
wherein said first patch library includes a plurality of patch clusters, and said pruned version of said picture is generated by dividing said original version of said picture into a plurality of overlapping blocks, searching for candidate patch clusters from among said plurality of patch clusters for each of said plurality of overlapping blocks based on respective distance metrics from each of said plurality of overlapping blocks to respective centers of each of said plurality of patch clusters, identifying a best matching patch from said candidate patch clusters based on one or more criterion, and pruning a corresponding one of said plurality of overlapping blocks to obtain a pruned block there for when a difference between said corresponding one of said plurality of overlapping blocks and said best matching patch is less than a threshold difference, and
wherein a patch dependency graph having a plurality of nodes and a plurality of edges is used for said searching, each of said plurality of nodes representing a respective one of said plurality of overlapping blocks, and each of said plurality of edges representing a respective dependency of at least said respective one of said plurality of overlapping blocks.
12. The method of claim 11, wherein said pruned version of said picture is generated by dividing said original version of said picture into a plurality of blocks, and respectively replacing at least one of said plurality of blocks with a replacement patch, wherein all pixels in said replacement patch have one of a same color value or a low resolution.
13. The method of claim 12, wherein said same color value is equal to an average of color values of said pixels within said at least one of said plurality of blocks.
14. The method of claim 11, wherein said first patch library is created by dividing said original version of said picture into a plurality of overlapping blocks to form a training data set, removing any of said plurality of overlapping blocks from said training set having a high frequency component above a pre-specified threshold, and clustering remaining ones of said plurality of overlapping blocks into a plurality of clusters, wherein each of said remaining ones of said plurality of overlapping blocks form a respective one of said plurality of high resolution replacement patches.
15. The method of claim 14, wherein a respective center of a respective one of said plurality of clusters corresponds to an average of any of said remaining ones of said plurality of overlapping blocks included in said respective one of said plurality of clusters.
16. The method of claim 14, wherein said remaining ones of said plurality of overlapping blocks are downsized prior to said clustering to obtain a plurality of downsized overlapping blocks, said clustering is performed on said plurality of downsized overlapping blocks, and said respective center of said respective one of said plurality of clusters corresponds to said average of any of said plurality of downsized overlapping blocks included in said respective one of said plurality of clusters.
17. The method of claim 11, wherein a signature is respectively created for each of said plurality of high resolution patches included in said second patch library by generating a feature vector there for that includes an average color for a respective one of said plurality of high resolution patches.
18. The method of claim 17, wherein said average color included in said feature vector for said respective one of said plurality of high resolution patches is further of surrounding pixels with respect to said respective one of said plurality of high resolution patches.
19. The method of claim 11, wherein only patches preceding a co-located patch with respect to said corresponding one of said plurality of overlapping blocks are used for said searching.
20. The method of claim 11, wherein said metadata comprises a patch index for said best matching patch when said difference between said corresponding one of said plurality of overlapping blocks and said best matching patch is less than said threshold difference, said metadata further comprising a block identifier for said pruned block.
21. An apparatus for encoding a picture in a video sequence, comprising:
means for creating a first patch library from an original version of said picture and a second patch library from a reconstructed version of said picture, each of said first patch library and said second patch library including a plurality of high resolution replacement patches for replacing one or more pruned blocks during a recovery of a pruned version of said picture;
means for generating said pruned version of said picture from said first patch library;
means for generating metadata from said second patch library, said metadata for recovering said pruned version of said picture; and
means for encoding said pruned version of said picture and said metadata,
wherein a patch dependency graph having a plurality of nodes and a plurality of edges is used for said searching, each of said plurality of nodes representing a respective one of said plurality of overlapping blocks, and each of said plurality of edges representing a respective dependency of at least said respective one of said plurality of overlapping blocks,
wherein said first patch library includes a plurality of patch clusters, and said pruned version of said picture is generated by dividing said original version of said picture into a plurality of overlapping blocks, searching for candidate patch clusters from among said plurality of patch clusters for each of said plurality of overlapping blocks based on respective distance metrics from each of said plurality of overlapping blocks to respective centers of each of said plurality of patch clusters, identifying a best matching patch from said candidate patch clusters based on one or more criterion, and pruning a corresponding one of said plurality of overlapping blocks to obtain a pruned block there for when a difference between said corresponding one of said plurality of overlapping blocks and said best matching patch is less than a threshold difference, and
wherein a patch dependency graph having a plurality of nodes and a plurality of edges is used for said searching, each of said plurality of nodes representing a respective one of said plurality of overlapping blocks, and each of said plurality of edges representing a respective dependency of at least said respective one of said plurality of overlapping blocks.
22. The apparatus of claim 21, wherein said pruned version of said picture is generated by dividing said original version of said picture into a plurality of blocks, and respectively replacing at least one of said plurality of blocks with a replacement patch, wherein all pixels in said replacement patch have one of a same color value or a low resolution.
23. The apparatus of claim 22, wherein said same color value is equal to an average of color values of said pixels within said at least one of said plurality of blocks.
24. The apparatus of claim 21, wherein said first patch library is created by dividing said original version of said picture into a plurality of overlapping blocks to form a training data set, removing any of said plurality of overlapping blocks from said training set having a high frequency component above a pre-specified threshold, and clustering remaining ones of said plurality of overlapping blocks into a plurality of clusters, wherein each of said remaining ones of said plurality of overlapping blocks form a respective one of said plurality of high resolution replacement patches.
25. The apparatus of claim 24, wherein a respective center of a respective one of said plurality of clusters corresponds to an average of any of said remaining ones of said plurality of overlapping blocks included in said respective one of said plurality of clusters.
26. The apparatus of claim 25, wherein said remaining ones of said plurality of overlapping blocks are downsized prior to said clustering to obtain a plurality of downsized overlapping blocks, said clustering is performed on said plurality of downsized overlapping blocks, and said respective center of said respective one of said plurality of clusters corresponds to said average of any of said plurality of downsized overlapping blocks included in said respective one of said plurality of clusters.
27. The apparatus of claim 21, wherein a signature is respectively created for each of said plurality of high resolution patches included in said second patch library by generating a feature vector there for that includes an average color for a respective one of said plurality of high resolution patches.
28. The apparatus of claim 27, wherein said average color included in said feature vector for said respective one of said plurality of high resolution patches is further of surrounding pixels with respect to said respective one of said plurality of high resolution patches.
29. The apparatus of claim 21, wherein only patches preceding a co-located patch with respect to said corresponding one of said plurality of overlapping blocks are used for said searching.
30. The apparatus of claim 21, wherein said metadata comprises a patch index for said best matching patch when said difference between said corresponding one of said plurality of overlapping blocks and said best matching patch is less than said threshold difference, said metadata further comprising a block identifier for said pruned block.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11770545B2 (en) 2020-09-11 2023-09-26 Axis Ab Method for providing prunable video

Families Citing this family (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9578345B2 (en) 2005-03-31 2017-02-21 Euclid Discoveries, Llc Model-based video encoding and decoding
US9532069B2 (en) 2004-07-30 2016-12-27 Euclid Discoveries, Llc Video compression repository and model reuse
US8902971B2 (en) 2004-07-30 2014-12-02 Euclid Discoveries, Llc Video compression repository and model reuse
US9743078B2 (en) 2004-07-30 2017-08-22 Euclid Discoveries, Llc Standards-compliant model-based video encoding and decoding
WO2008091485A2 (en) 2007-01-23 2008-07-31 Euclid Discoveries, Llc Systems and methods for providing personal video services
US11361014B2 (en) * 2005-10-26 2022-06-14 Cortica Ltd. System and method for completing a user profile
CN101939991A (en) 2007-01-23 2011-01-05 欧几里得发现有限责任公司 Computer method and apparatus for processing image data
US8553782B2 (en) 2007-01-23 2013-10-08 Euclid Discoveries, Llc Object archival systems and methods
CA2739482C (en) 2008-10-07 2017-03-14 Euclid Discoveries, Llc Feature-based video compression
WO2011090798A1 (en) 2010-01-22 2011-07-28 Thomson Licensing Data pruning for video compression using example-based super-resolution
US9602814B2 (en) 2010-01-22 2017-03-21 Thomson Licensing Methods and apparatus for sampling-based super resolution video encoding and decoding
US9338477B2 (en) * 2010-09-10 2016-05-10 Thomson Licensing Recovering a pruned version of a picture in a video sequence for example-based data pruning using intra-frame patch similarity
WO2012033972A1 (en) 2010-09-10 2012-03-15 Thomson Licensing Methods and apparatus for pruning decision optimization in example-based data pruning compression
JP6193972B2 (en) * 2012-03-27 2017-09-06 ユークリッド・ディスカバリーズ・エルエルシーEuclid Discoveries,Llc Video compression repository and model reuse
WO2015138008A1 (en) 2014-03-10 2015-09-17 Euclid Discoveries, Llc Continuous block tracking for temporal prediction in video encoding
US10091507B2 (en) 2014-03-10 2018-10-02 Euclid Discoveries, Llc Perceptual optimization for model-based video encoding
US10097851B2 (en) 2014-03-10 2018-10-09 Euclid Discoveries, Llc Perceptual optimization for model-based video encoding
JP2016066922A (en) * 2014-09-25 2016-04-28 ソニー株式会社 Signal processor, imaging apparatus, and signal processing method in them
US9848210B2 (en) * 2014-12-18 2017-12-19 Konkuk University Industrial Cooperation Corp Error concealment method using spatial interpolation and exemplar-based image inpainting
JP6900359B2 (en) * 2018-12-28 2021-07-07 株式会社ドワンゴ Image transmission / reception system, data transmission / reception system, transmission / reception method, computer program, image transmission system, image receiver, transmission system, receiver

Family Cites Families (115)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US845751A (en) 1906-03-03 1907-03-05 Max Ams Machine Co Method of forming covers for sheet-metal cans.
CA2143633A1 (en) 1992-09-01 1994-03-17 James Oliver Normile Improved vector quantization
JP3679426B2 (en) 1993-03-15 2005-08-03 マサチューセッツ・インスティチュート・オブ・テクノロジー A system that encodes image data into multiple layers, each representing a coherent region of motion, and motion parameters associated with the layers.
JPH09505188A (en) 1993-11-15 1997-05-20 ナショナル・セミコンダクター・コーポレイション Quad-tree WALSH transform coding
US5446806A (en) 1993-11-15 1995-08-29 National Semiconductor Corporation Quadtree-structured Walsh transform video/image coding
US6798834B1 (en) 1996-08-15 2004-09-28 Mitsubishi Denki Kabushiki Kaisha Image coding apparatus with segment classification and segmentation-type motion prediction circuit
JP3448091B2 (en) 1994-02-18 2003-09-16 富士通株式会社 Encoding / decoding device and encoding / decoding method
US5537155A (en) 1994-04-29 1996-07-16 Motorola, Inc. Method for estimating motion in a video sequence
KR0169662B1 (en) 1994-12-28 1999-03-20 배순훈 A classified pts vq encoder
KR100207638B1 (en) 1995-05-29 1999-07-15 윤종용 Variable bit rate video encoding method
US5764374A (en) 1996-02-05 1998-06-09 Hewlett-Packard Company System and method for lossless image compression having improved sequential determination of golomb parameter
US5862342A (en) 1996-10-31 1999-01-19 Sensormatic Electronics Corporation Intelligent video information management system with information archiving capabilities
EP1453312A3 (en) 1996-10-31 2004-11-10 Sensormatic Electronics Corporation Intelligent video information management system
DE69815251T2 (en) 1997-04-02 2004-04-29 Koninklijke Philips Electronics N.V. IMAGE PROCESSING SYSTEM AND METHOD
US6937659B1 (en) 1997-11-14 2005-08-30 Ac Capital Management, Inc. Apparatus and method for compressing video information
CN1133327C (en) 1997-12-23 2003-12-31 汤姆森特许公司 Low noise encoding and decoding method
US6278446B1 (en) 1998-02-23 2001-08-21 Siemens Corporate Research, Inc. System for interactive organization and browsing of video
US6480538B1 (en) * 1998-07-08 2002-11-12 Koninklijke Philips Electronics N.V. Low bandwidth encoding scheme for video transmission
DE69932029D1 (en) 1998-08-05 2006-08-03 Koninkl Philips Electronics Nv METHOD AND DEVICE FOR PRODUCING A STICK IMAGE
US6782132B1 (en) 1998-08-12 2004-08-24 Pixonics, Inc. Video coding and reconstruction apparatus and methods
US6487249B2 (en) 1998-10-09 2002-11-26 Matsushita Electric Industrial Co., Ltd. Efficient down conversion system for 2:1 decimation
US6397166B1 (en) 1998-11-06 2002-05-28 International Business Machines Corporation Method and system for model-based clustering and signal-bearing medium for storing program of same
US6301387B1 (en) 1998-12-18 2001-10-09 University Of Washington Template matching using correlative auto-predictive search
US6272250B1 (en) 1999-01-20 2001-08-07 University Of Washington Color clustering for scene change detection and object tracking in video sequences
US6795578B1 (en) 1999-09-29 2004-09-21 Canon Kabushiki Kaisha Image processing apparatus and method, and storage medium
KR100708091B1 (en) 2000-06-13 2007-04-16 삼성전자주식회사 Frame rate converter using bidirectional motion vector and method thereof
US7623706B1 (en) 2000-09-29 2009-11-24 Hewlett-Packard Development Company, L.P. Reduction of chromatic bleeding artifacts in images containing subsampled chrominance values
US6952700B2 (en) 2001-03-22 2005-10-04 International Business Machines Corporation Feature weighting in κ-means clustering
US6766067B2 (en) 2001-04-20 2004-07-20 Mitsubishi Electric Research Laboratories, Inc. One-pass super-resolution images
US7003039B2 (en) * 2001-07-18 2006-02-21 Avideh Zakhor Dictionary generation method for video and image compression
FR2828054B1 (en) * 2001-07-27 2003-11-28 Thomson Licensing Sa METHOD AND DEVICE FOR CODING A SCENE
US20060165386A1 (en) 2002-01-08 2006-07-27 Cernium, Inc. Object selective video recording
US7602848B2 (en) 2002-03-26 2009-10-13 General Instrument Corporation Methods and apparatus for efficient global motion compensation encoding and associated decoding
US7433526B2 (en) 2002-04-30 2008-10-07 Hewlett-Packard Development Company, L.P. Method for compressing images and image sequences through adaptive partitioning
US7715477B2 (en) 2002-05-29 2010-05-11 Diego Garrido Classifying image areas of a video signal
US7119837B2 (en) 2002-06-28 2006-10-10 Microsoft Corporation Video processing system and method for automatic enhancement of digital video
JP4762486B2 (en) 2002-09-04 2011-08-31 マイクロソフト コーポレーション Multi-resolution video encoding and decoding
US7379496B2 (en) 2002-09-04 2008-05-27 Microsoft Corporation Multi-resolution video coding and decoding
AU2002951574A0 (en) 2002-09-20 2002-10-03 Unisearch Limited Method of signalling motion information for efficient scalable video compression
DE10310023A1 (en) 2003-02-28 2004-09-16 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Method and arrangement for video coding, the video coding comprising texture analysis and texture synthesis, as well as a corresponding computer program and a corresponding computer-readable storage medium
US7218796B2 (en) 2003-04-30 2007-05-15 Microsoft Corporation Patch-based video super-resolution
KR100504594B1 (en) 2003-06-27 2005-08-30 주식회사 성진씨앤씨 Method of restoring and reconstructing a super-resolution image from a low-resolution compressed image
US7383180B2 (en) 2003-07-18 2008-06-03 Microsoft Corporation Constant bitrate media encoding techniques
WO2005043882A2 (en) 2003-10-21 2005-05-12 Prismvideo, Inc Video source coding with side information
US7720148B2 (en) 2004-03-26 2010-05-18 The Hong Kong University Of Science And Technology Efficient multi-frame motion estimation for video compression
TWI246338B (en) 2004-04-09 2005-12-21 Asustek Comp Inc A hybrid model sprite generator and a method to form a sprite
EP1631089A1 (en) 2004-08-30 2006-03-01 Matsushita Electric Industrial Co., Ltd. Video coding apparatus and decoding apparatus
US7447337B2 (en) 2004-10-25 2008-11-04 Hewlett-Packard Development Company, L.P. Video content understanding through real time video motion analysis
CN101437162A (en) 2004-11-19 2009-05-20 株式会社Ntt都科摩 Image decoding apparatus, image decoding method, image encoding apparatus, image encoding program, and image encoding method
JP2006174415A (en) 2004-11-19 2006-06-29 Ntt Docomo Inc Image decoding apparatus, image decoding program, image decoding method, image encoding apparatus, image encoding program, and image encoding method
US7327904B2 (en) 2004-12-15 2008-02-05 Arcsoft, Inc. Pattern classification and filter design for increasing image resolution
US7671894B2 (en) 2004-12-17 2010-03-02 Mitsubishi Electric Research Laboratories, Inc. Method and system for processing multiview videos for view synthesis using skip and direct modes
US8391368B2 (en) 2005-04-08 2013-03-05 Sri International Macro-block based mixed resolution video compression system
KR100716998B1 (en) 2005-05-24 2007-05-10 삼성전자주식회사 Encoder and Decoder for reducing blocking phenomenon, method therefor, and recording medium storing A program to implement thereof
JP2007043651A (en) 2005-07-05 2007-02-15 Ntt Docomo Inc Dynamic image encoding device, dynamic image encoding method, dynamic image encoding program, dynamic image decoding device, dynamic image decoding method, and dynamic image decoding program
US7715658B2 (en) 2005-08-03 2010-05-11 Samsung Electronics Co., Ltd. Apparatus and method for super-resolution enhancement processing
WO2007055359A1 (en) 2005-11-11 2007-05-18 Japan Advanced Institute Of Science And Technology Clustering system and image processing system having same
US8249871B2 (en) 2005-11-18 2012-08-21 Microsoft Corporation Word clustering for input data
CN100413316C (en) 2006-02-14 2008-08-20 华为技术有限公司 Ultra-resolution ratio reconstructing method for video-image
AU2006201210A1 (en) 2006-03-23 2007-10-11 Canon Information Systems Research Australia Pty Ltd Motion characterisation
US7778472B2 (en) 2006-03-27 2010-08-17 Qualcomm Incorporated Methods and systems for significance coefficient coding in video compression
US8019171B2 (en) 2006-04-19 2011-09-13 Microsoft Corporation Vision-based compression
US7933464B2 (en) 2006-10-17 2011-04-26 Sri International Scene-based non-uniformity correction and enhancement method using super-resolution
EP1926321A1 (en) 2006-11-27 2008-05-28 Matsushita Electric Industrial Co., Ltd. Hybrid texture representation
TWI319547B (en) 2006-12-01 2010-01-11 Compal Electronics Inc Method for generating typographical line
KR101381600B1 (en) 2006-12-20 2014-04-04 삼성전자주식회사 Method and apparatus for encoding and decoding using texture synthesis
KR101383540B1 (en) 2007-01-03 2014-04-09 삼성전자주식회사 Method of estimating motion vector using multiple motion vector predictors, apparatus, encoder, decoder and decoding method
CN101222641B (en) 2007-01-11 2011-08-24 华为技术有限公司 Infra-frame prediction encoding and decoding method and device
JP4467583B2 (en) 2007-01-17 2010-05-26 富士通株式会社 Design support program, design support method, and design support apparatus
US7792423B2 (en) 2007-02-06 2010-09-07 Mitsubishi Electric Research Laboratories, Inc. 4D light field cameras
CN104023242B (en) 2007-04-09 2017-07-07 株式会社Ntt都科摩 Image prediction encoding device and method, image prediction/decoding device and method
JP5372341B2 (en) 2007-05-18 2013-12-18 株式会社エヌ・ティ・ティ・ドコモ Image predictive encoding device, image predictive encoding method, image predictive encoding program, image predictive decoding device, image predictive decoding method, and image predictive decoding program
JP5572802B2 (en) 2007-05-30 2014-08-20 国立大学法人 香川大学 Adhesion method and biochemical chip and optical component produced using the same
BRPI0811626B1 (en) 2007-06-14 2019-08-20 Contentarmor METHOD AND DEVICE PRINT WATERMARK ON CODE VARIABLE EXTENSION DATA, CONTINUOUS FLOW OF CODE VARIABLE EXTENSION DATA AND LEGAL MEDIA BY PROCESSOR
US20090003443A1 (en) 2007-06-26 2009-01-01 Nokia Corporation Priority-based template matching intra prediction video and image coding
US9648325B2 (en) 2007-06-30 2017-05-09 Microsoft Technology Licensing, Llc Video decoding implementations for a graphics processing unit
US8417037B2 (en) 2007-07-16 2013-04-09 Alexander Bronstein Methods and systems for representation and matching of video content
US8358840B2 (en) 2007-07-16 2013-01-22 Alexander Bronstein Methods and systems for representation and matching of video content
US8582908B2 (en) * 2007-08-07 2013-11-12 Texas Instruments Incorporated Quantization method and apparatus
US8081842B2 (en) 2007-09-07 2011-12-20 Microsoft Corporation Image resizing for web-based image search
CN101389021B (en) 2007-09-14 2010-12-22 华为技术有限公司 Video encoding/decoding method and apparatus
JP4876048B2 (en) 2007-09-21 2012-02-15 株式会社日立製作所 Video transmission / reception method, reception device, video storage device
US8422559B2 (en) 2007-10-10 2013-04-16 Mediatek Inc. Matching-pixel sub-sampling motion estimation method for video compression
JP5098559B2 (en) 2007-10-11 2012-12-12 富士ゼロックス株式会社 Similar image search device and similar image search program
CN101415122B (en) 2007-10-15 2011-11-16 华为技术有限公司 Forecasting encoding/decoding method and apparatus between frames
CN101198064A (en) 2007-12-10 2008-06-11 武汉大学 Movement vector prediction method in resolution demixing technology
WO2009087641A2 (en) 2008-01-10 2009-07-16 Ramot At Tel-Aviv University Ltd. System and method for real-time super-resolution
JP5529040B2 (en) 2008-01-10 2014-06-25 トムソン ライセンシング Intra-predicted video illumination compensation method and apparatus
US8228990B2 (en) 2008-01-16 2012-07-24 Sony Corporation Template matching scheme using multiple predictors as candidates for intra-prediction
US8204325B2 (en) 2008-01-18 2012-06-19 Sharp Laboratories Of America, Inc. Systems and methods for texture synthesis for video coding with side information
CN101978697B (en) 2008-01-25 2013-02-13 惠普开发有限公司 Coding mode selection for block-based encoding
CN101965733B (en) 2008-03-09 2013-08-07 Lg电子株式会社 Method and an apparatus for encoding or decoding a video signal
US8189933B2 (en) 2008-03-31 2012-05-29 Microsoft Corporation Classifying and controlling encoding quality for textured, dark smooth and smooth video content
JP5406465B2 (en) 2008-04-24 2014-02-05 株式会社Nttドコモ Image predictive encoding device, image predictive encoding method, image predictive encoding program, image predictive decoding device, image predictive decoding method, and image predictive decoding program
BRPI0822815A2 (en) 2008-06-27 2015-06-30 Thomson Licensing Method and apparatus for texture compression using patch-based sampling texture synthesis
US8340463B1 (en) 2008-08-29 2012-12-25 Adobe Systems Incorporated Candidate pruning for patch transforms
US9571857B2 (en) 2008-09-18 2017-02-14 Thomson Licensing Methods and apparatus for video imaging pruning
US8233734B2 (en) 2008-09-22 2012-07-31 Microsoft Corporation Image upsampling with training images
CN101459842B (en) 2008-12-17 2011-05-11 浙江大学 Decoding method and apparatus for space desampling
FR2941581A1 (en) 2009-01-28 2010-07-30 France Telecom Video image sequence coding method, involves identifying better candidate zone in set of candidate zones, minimizing reconstruction error with respect to target zone, and determining indication representing identified better candidate zone
CN101551903A (en) 2009-05-11 2009-10-07 天津大学 Super-resolution image restoration method in gait recognition
CN101556690B (en) 2009-05-14 2015-01-07 复旦大学 Image super-resolution method based on overcomplete dictionary learning and sparse representation
JP2010268259A (en) 2009-05-15 2010-11-25 Sony Corp Image processing device and method, and program
US20110047163A1 (en) 2009-08-24 2011-02-24 Google Inc. Relevance-Based Image Selection
EP2486727A4 (en) 2009-10-05 2014-03-12 Icvt Ltd A method and system for processing an image
KR20110065997A (en) 2009-12-10 2011-06-16 삼성전자주식회사 Image processing apparatus and method of processing image
KR101782661B1 (en) 2010-01-19 2017-10-23 톰슨 라이센싱 Methods and apparatus for reduced complexity template matching prediction for video encoding and decoding
WO2011090798A1 (en) 2010-01-22 2011-07-28 Thomson Licensing Data pruning for video compression using example-based super-resolution
US20110210960A1 (en) 2010-02-26 2011-09-01 Google Inc. Hierarchical blurring of texture maps
BR112013004107A2 (en) 2010-09-10 2016-06-14 Thomson Licensing methods and apparatus for decoding video signals using example motion-compensated super resolution for video compression
US9338477B2 (en) * 2010-09-10 2016-05-10 Thomson Licensing Recovering a pruned version of a picture in a video sequence for example-based data pruning using intra-frame patch similarity
US20130163661A1 (en) 2010-09-10 2013-06-27 Thomson Licensing Video encoding using example - based data pruning
US8503792B2 (en) 2010-12-17 2013-08-06 Sony Corporation Patch description and modeling for image subscene recognition
AU2013237949A1 (en) 2012-03-28 2014-11-13 University Of Houston System Methods and software for screening and diagnosing skin lesions and plant diseases
JP6192271B2 (en) 2012-08-22 2017-09-06 キヤノン株式会社 Image processing apparatus, image processing method, and program

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11770545B2 (en) 2020-09-11 2023-09-26 Axis Ab Method for providing prunable video

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