CN108833920A - A kind of DVC side information fusion method based on light stream and Block- matching - Google Patents
A kind of DVC side information fusion method based on light stream and Block- matching Download PDFInfo
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- CN108833920A CN108833920A CN201810563580.3A CN201810563580A CN108833920A CN 108833920 A CN108833920 A CN 108833920A CN 201810563580 A CN201810563580 A CN 201810563580A CN 108833920 A CN108833920 A CN 108833920A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/146—Data rate or code amount at the encoder output
- H04N19/147—Data rate or code amount at the encoder output according to rate distortion criteria
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/136—Incoming video signal characteristics or properties
- H04N19/137—Motion inside a coding unit, e.g. average field, frame or block difference
- H04N19/139—Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
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- H—ELECTRICITY
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods 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
- H04N19/17—Methods 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
- H04N19/176—Methods 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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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods 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
- H04N19/177—Methods 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 a group of pictures [GOP]
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/587—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal sub-sampling or interpolation, e.g. decimation or subsequent interpolation of pictures in a video sequence
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Abstract
The DVC side information fusion method based on light stream and Block- matching that the present invention provides a kind of relates generally to decoding end WZ frame side information and generates scheme.Preferable coding quality can be obtained for more gentle video sequence for moving since traditional Block- matching side information generates scheme, but when video image motion is more violent or video image group is larger, block matching algorithm is difficult to obtain a higher side information quality, and light stream can be very good to indicate the motion information between video sequence, therefore the method for the present invention proposes a kind of side information blending algorithm based on light stream and Block- matching, the experimental results showed that, method of the invention can obtain the higher side information quality of more traditional block matching algorithm, improve the whole distortion performance of system.
Description
Technical field
The present invention relates to the video coding technique problems in field of picture communication, compile more particularly, to a kind of distributed video
Side information increased quality technology in code (DVC).
Background technique
In recent years, with digital communication, the fast development of multimedia technology and the contour science and technology of wireless communication, people couple
The requirement of video quality is also higher and higher, such as：Wireless sensor network, video conference, wireless monitor video, smart phone etc..
It is compared to single audio and text information, video image can provide more intuitive visual information abundant, but possess
The video image of huge data volume also brings certain challenge to Video Compression coding system.It is whole for novel mobile device
For end, popular feature be computing capability, memory capacity and in terms of it is limited.Distributed video coding
The features such as (Distributed Video Coding, DVC) has encoder complexity low, and non fouling is high, it is compiled using independent
The mode of code, combined decoding excavates the correlation between interframe and multiple source in decoding end, thus by complicated motion compensation and
Estimation has moved on to decoding end from coding side, reduces the complexity of coding side, these features be the low computing capability of coding side,
The Video Applications of wireless transmission poor reliability provide new effective solution.
In DVC, video sequence is alternately divided into Wyner-Ziv frame (WZ frame) and key frame (K frame), K frame using
Independent code encoding/decoding mode in traditional frame can be used to assist the generation of WZ frame side information.The side information quality pair of generation
Conclusive effect is played in the distortion performance of whole system.Traditional side information generation method there are several types of：Key frame
Replica method, the key frame method of average, motion compensation extrapolation and motion compensated interpolation method.These traditional side informations generate scheme pair
Preferable coding quality can be obtained for more gentle video sequence in moving, but when video image motion more acutely or
When video image group (Group of Picture, GOP) is larger, these methods are all difficult to obtain a higher side information matter
Amount.
The DVC coding framework that the present invention uses is the Wyner-Ziv video coding framework (Motion based on motor learning
Learning-based transform domain Wyner-Ziv, MLWZ), MLWZ scheme is proposed in Stanford University
On the basis of Wyner-Ziv encoding scheme based on DCT domain, processing is optimized to corresponding module, thought be by by
The decoded information of a frequency band and the motion vector of current block neighborhood carry out progressive updating study, therefore can to a certain extent may be used
To obtain higher-quality side information.However the initial side information of the MLWZ frame based on motor learning generate scheme using
Motion compensated interpolation algorithm based on Block- matching, when video sequence movement is more violent or GOP is larger, this method is difficult to obtain
One ideal side information quality, on the other hand, the progressive updating of side information and optimization be on the basis of initial side information into
Capable, the initial edge information quality of system is higher, and the final coding efficiency of whole system will be better.Therefore the present invention is in MLWZ frame
On the basis of frame, the Optic flow information generated using video interframe promotes the quality of the initial side information of MLWZ decoding end, with this into one
The whole distortion performance of the raising DVC system of step.
Summary of the invention
In DVC, the side information of WZ frame is considered the pre- to one kind of current WZ frame to be decoded of decoding end acquisition
It surveys, side information is more similar to original WZ frame, and the check bit position that coding side needs to be sent to decoding end is fewer, the code of system
Rate is lower, and coding efficiency is higher.Therefore, in DVC, side information has for the performance of entire coded system to be determined
The effect of property.
For convenience of explanation, it is firstly introduced into light stream concept：
In computer vision and field of image processing, light stream is commonly used to express the variation and motion conditions between image, light
The concept of stream is to be put forward for the first time by James J.Gibson in the 1940s, for a video sequence, light stream
What is represented is exactly the movement velocity and the direction of motion of each pixel of every image in video, as shown in Figure 1 for according to video sequence
Arrange the light stream schematic diagram that the 1st frame and the 2nd frame generate in Foreman.When video sequence motion intense, light stream also be can be very good
The motion information between image is represented, block matching algorithm side information when video sequence movement is more violent can be effectively made up
The problem of quality declines.Comparative maturity, the present invention are used based on depth convolutional neural networks currently used optical flow algorithm
2.0 frame of FlowNet generate Optic flow information, a kind of DVC side information fusion method based on light stream and Block- matching specifically walks
It is rapid as follows：
A. the side information based on forward and backward light stream generates
In view of initial edge information quality quality for whole system distortion performance importance, the present invention utilize to
The forward and backward Optic flow information of decoding frame carrys out interpolation and generates light stream side information.GOP=2 is set, and current WZ frame to be decoded is denoted as
It, It-1With It+1Respectively indicate ItForward and backward decoded key frame,WithRespectively indicate ItForward and backward light stream
Side information interpolation frame, specific calculating process are as follows：
A1. I is obtained using optical flow algorithmt-1Frame is to It-1The forward direction light stream V of framef；
A2. to key frame I before calculatingt-1To present frame ItLight stream Vf′：Vf' (x, y)=1/2Vf(x, y), x therein and
Y respectively indicates cross, ordinate in Optic flow information, illustrates to need to handle each point one by one；
A3. the forward direction light stream side information of WZ frame is calculated, wherein round () function representation rounds up operation, x and y
Respectively indicate cross, the ordinate in Optic flow information：
A4. I is obtained using optical flow algorithmt+1Frame is to It-1The backward light stream V of frameb；
A5. to key frame I after calculatingt+1To present frame ItLight stream Vb′：Vb' (x, y)=1/2Vb(x, y), x therein and
Y respectively indicates cross, ordinate in Optic flow information, illustrates to need to handle each point one by one；
A6. the backward light stream side information of WZ frame is calculated, x and y respectively indicate cross, ordinate in Optic flow information：
B. it is merged based on the side information of light stream and Block- matching
B1. the adjacent decoded frame I in front and back of WZ frame is utilizedt-1With It+1The side information of the WZ frame is obtained by block matching method
B2. forward direction light stream side information step A3 calculatedThe backward light stream side information that step A6 is calculatedAnd block
Match the side information obtainedFusion obtains final side information：
The present invention generates current WZ frame to be decoded it is crucial that using the forward and backward Optic flow information between video sequence
Light stream side information, then with based on block matching algorithm generate side information merged, finally obtain a WZ frame side information,
This method video sequence move more acutely or GOP it is larger when, can also obtain the higher side information of quality, therefore, this
Inventive method can effectively promote the quality of side information in DVC, while improve the binary encoding performance of DVC system.
To keep above content of the invention, feature and advantage more obvious and easy to understand, cooperate appended attached drawing below, makees detailed
It is described as follows.
Detailed description of the invention
Fig. 1 is the light stream schematic diagram of video sequence Foreman of the invention, and Fig. 1 (c) is indicated according to Fig. 1 (a) and Fig. 1 (b)
In video frame generate Optic flow information；
Fig. 2 is that the present invention is based on the DVC side information fusion method system block diagrams of light stream and Block- matching；
Fig. 3 is the cavity point padding scheme of the invention based on neighborhood search；
Fig. 4 is the experiment pair of the method for the present invention and original motion Learning Scheme and motion compensated interpolation method side information scheme
Compare result, wherein Fig. 4 (a) is the experimental result curve of video sequence Foreman, and Fig. 4 (b) is the reality of video sequence Soccer
Test result curve.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and embodiments, it is necessary to, it is noted that below
Embodiment is served only for that the present invention is described further, should not be understood as limiting the scope of the invention, fields
Personnel be skillful at according to foregoing invention content, some nonessential modifications and adaptations are made to the present invention and are embodied,
Protection scope of the present invention should be still fallen within.
It is illustrated in figure 2 the system block diagram of the method for the present invention, specific implementation method is：
(1) in DVC coding side, original video sequence is alternately divided into WZ frame and K frame, K frame using it is traditional H.264/AVC
Intraframe coding method coding, WZ frame by dct transform, quantization, bit-plane extract after, using LDPCA channel coding method into
Row coding；
(2) in DVC decoding end, K frame is decoded using decoding process in conventional frame.Decoding for WZ frame, first according to
Lower step generates the forward and backward light stream side information of current WZ frame：
GOP=2 is set, and current WZ frame to be decoded is denoted as It, It-1With It+1Respectively indicate ItForward and backward decoded
Key frame,WithRespectively indicate ItForward and backward light stream side information interpolation frame, specific calculating process is as follows：
A1. I is obtained using optical flow algorithmt-1Frame is to It-1The forward direction light stream V of framef；
A2. to key frame I before calculatingt-1To present frame ItLight stream Vf′：Vf' (x, y)=1/2Vf(x, y), x therein and
Y respectively indicates cross, ordinate in Optic flow information, illustrates to need to handle each point one by one；
A3. the forward direction light stream side information of WZ frame is calculated, wherein round () function representation rounds up operation, x and y
Respectively indicate cross, the ordinate in Optic flow information：
A4. I is obtained using optical flow algorithmt+1Frame is to It-1The backward light stream V of frameb；
A5. to key frame I after calculatingt+1To present frame ItLight stream Vb′：Vb' (x, y)=1/2Vb(x, y), x therein and
Y respectively indicates cross, ordinate in Optic flow information, illustrates to need to handle each point one by one；
A6. the backward light stream side information of WZ frame is calculated, x and y respectively indicate cross, ordinate in Optic flow information：
(3) then the side information of light stream and Block- matching is merged according to following steps, obtains final WZ frame side letter
Breath：
B1. the adjacent decoded frame I in front and back of WZ frame is utilizedt- 1 and It+1The side letter of the WZ frame is obtained by block matching method
Breath
B2. forward direction light stream side information step A3 calculatedThe backward light stream side information that step A6 is calculatedAnd block
Match the side information obtainedFusion obtains final side information：
(4) auxiliary decoder is carried out to WZ frame using fused WZ frame side information, obtains the decoding frame of WZ frame.
Specifically, in step A1, A4, although traditional optical flow algorithm can preferably indicate the fortune of video image
Dynamic characteristic, however its calculating time complexity is higher, therefore is not suitable for being applied to the higher occasion of requirement of real-time.The present invention
Optic flow information is generated using based on 2.0 frame of FlowNet of depth convolutional neural networks, can not only be obtained high-quality
The Optic flow information of amount, while having in speed and being obviously improved.
Specifically, in step A3, A6 calculating process, it is possible that occlusion phenomena, i.e., forThe same pixel position
It sets, in It+1Inside have multiple pixels to be corresponding to it, processing mode of the invention is met by finding | It+1(x,y)-It-1(x+
Vb(x),y+Vb(y)) | value is the smallest to choose result to be final.It is possible that empty point, i.e., corresponding with occlusion phenomena is
ForSome location of pixels, in It-1Interior to be corresponding to it without any pixel, the present invention uses simple neighborhood padding scheme pair
In cavity, point is filled, as shown in Figure 3, it is assumed that black block position represented is preceding to light stream side information interpolation frameIn some
Pixel cavity point, what white blocks represented is pixel cavity point in its neighborhood, and what grey block represented is then the non-cavity in its neighborhood
Point successively traverses by the way of from inside to outside, until finding to find the filling point of current pixel cavity point in its neighborhood
Until first non-cavity point, and as final filling result.
In order to verify the effective of the DVC side information integration program based on light stream and Block- matching that the present invention program is proposed
Property, experimental analysis is carried out by taking Foreman and Soccer video sequence as an example, by the original fortune of the method for the present invention and MLWZ frame
The side information scheme that dynamic Learning Scheme and motion compensated interpolation method generate is decoded the comparison of WZ frame PSNR value, test video
Format Series Lines are (176 × 144) QCIF, and frame per second 15fps, test frame number is 150 frames, are only surveyed to luminance component
Examination, it be the quantization parameter of 25, WZ frame is Q8 that GOP, which is dimensioned to the quantization parameter Iqp of 2, K frame,.Experimental result as shown in figure 4,
What abscissa represented is video frame number, and what ordinate represented is PSNR value.PSNR value is higher, indicates the quality of video reconstruction frames
Better.As can be seen that it is compared to interpolation side information method and original motion Learning Scheme, the high intensity movements in
Foreman and Soccer sequence, the side information PSNR value that the method for the present invention generates has different degrees of promotion, and performance is more
Stablize, it is particularly evident especially for the second-rate video frame promotion effect of side information in interpolation side information algorithm, it is main former
Because being the kinetic characteristic that can preferably indicate video image based on the side information of light stream and Block- matching fusion generation scheme, simultaneously
It is realized using the coding mode of motor learning and the purpose updated by frequency band is carried out to side information.Therefore, it is compared to typical
Interpolation side information algorithm and original motor learning scheme, the side information prioritization scheme that the method for the present invention is proposed can obtain more
High side information quality.
Claims (3)
1. a kind of DVC side information fusion method based on light stream and Block- matching, it is characterised in that mainly include following procedure step：
A. the side information based on forward and backward light stream generates
In view of the quality of initial edge information quality is for the importance of whole system distortion performance, the present invention utilizes to be decoded
The forward and backward Optic flow information of frame carrys out interpolation and generates light stream side information.GOP=2 is set, and current WZ frame to be decoded is denoted as It, It-1
With It+1Respectively indicate ItForward and backward decoded key frame,WithRespectively indicate ItForward and backward light stream side letter
Interpolation frame is ceased, specific calculating process is as follows：
A1. I is obtained using optical flow algorithmt-1Frame is to It-1The forward direction light stream V of framef；
A2. to key frame I before calculatingt-1To present frame ItLight stream V 'f：V′f(x, y)=1/2Vf(x, y), x and y difference therein
It indicates cross, the ordinate in Optic flow information, illustrates to need to handle each point one by one；
A3. the forward direction light stream side information of WZ frame is calculated, wherein round () function representation rounds up operation, x and y difference
Indicate cross, the ordinate in Optic flow information：
A4. I is obtained using optical flow algorithmt+1Frame is to It-1The backward light stream V of frameb；
A5. to key frame I after calculatingt+1To present frame ItLight stream V 'b：V′b(x, y)=1/2Vb(x, y), x and y difference therein
It indicates cross, the ordinate in Optic flow information, illustrates to need to handle each point one by one；
A6. the backward light stream side information of WZ frame is calculated, x and y respectively indicate cross, ordinate in Optic flow information：
B. it is merged based on the side information of light stream and Block- matching
B1. the adjacent decoded frame I in front and back of WZ frame is utilizedt-1With It+1The side information of the WZ frame is obtained by block matching method
B2. forward direction light stream side information step A3 calculatedThe backward light stream side information that step A6 is calculatedAnd Block- matching
The side information of acquisitionFusion obtains final side information：
2. the DVC side information fusion method based on light stream and Block- matching as described in claim 1, it is characterised in that in step A,
The forward and backward Optic flow information of current WZ frame to be decoded is obtained using the optical flow algorithm based on 2.0 frame of FlowNet, utilizes light stream
Information generates the forward and backward light stream side information of the WZ frame.
3. the DVC side information fusion method based on light stream and Block- matching as described in claim 1, it is characterised in that in step B
Described in by preceding to light stream side informationBackward light stream side informationAnd the side information that Block- matching obtainsFusion obtains most
Whole side information.
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| CN113822041B (en) * | 2020-06-18 | 2023-04-18 | 四川大学 | Deep neural network natural scene text detection method suitable for dense text |
| CN117470248A (en) * | 2023-12-27 | 2024-01-30 | 四川三江数智科技有限公司 | Indoor positioning method for mobile robot |
| CN117470248B (en) * | 2023-12-27 | 2024-04-02 | 四川三江数智科技有限公司 | Indoor positioning method for mobile robot |
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