Nothing Special   »   [go: up one dir, main page]

Kuanar et al., 2018 - Google Patents

Fast mode decision in HEVC intra prediction, using region wise CNN feature classification

Kuanar et al., 2018

Document ID
7153014745623861033
Author
Kuanar S
Rao K
Conly C
Publication year
Publication venue
2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)

External Links

Snippet

The computational time of HEVC encoder is increased mainly because of hierarchical quadtree based structure, recursive search for finding best coding units (CU), and the exhaustive prediction mode search upto 35. These advances improve coding efficiency but …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/68Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20Image acquisition
    • G06K9/34Segmentation of touching or overlapping patterns in the image field
    • G06K9/342Cutting or merging image elements, e.g. region growing, watershed, clustering-based techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51Motion estimation or motion compensation

Similar Documents

Publication Publication Date Title
Kuanar et al. Fast mode decision in HEVC intra prediction, using region wise CNN feature classification
Kuanar et al. Adaptive CU mode selection in HEVC intra prediction: A deep learning approach
Liu et al. Learning gaussian instance segmentation in point clouds
Piccardi Background subtraction techniques: a review
Chen et al. A fast two-dimensional entropic thresholding algorithm
Jin et al. CNN oriented fast QTBT partition algorithm for JVET intra coding
Jin et al. Fast QTBT partition algorithm for intra frame coding through convolutional neural network
Ibraheem et al. Comparative study of skin color based segmentation techniques
JP4567660B2 (en) A method for determining a segment of an object in an electronic image.
Boulmerka et al. Foreground segmentation in videos combining general Gaussian mixture modeling and spatial information
Sengar et al. Moving object tracking using Laplacian-DCT based perceptual hash
Kekre et al. Color Image Segmentation using Vector Quantization Techniques Based on the Energy Ordering concept
Cooper et al. Spatial segmentation of temporal texture using mixture linear models
Lu et al. Efficient object detection for high resolution images
Li et al. Gaussian-based codebook model for video background subtraction
CN114049531A (en) Pedestrian re-identification method based on weak supervision human body collaborative segmentation
Qiu et al. Subclassified loss: Rethinking data imbalance from subclass perspective for semantic segmentation
CN109583584B (en) Method and system for enabling CNN with full connection layer to accept indefinite shape input
Aliouat et al. EVBS-CAT: enhanced video background subtraction with a controlled adaptive threshold for constrained wireless video surveillance
Hsu et al. Human head detection using histograms of oriented optical flow in low quality videos with occlusion
Lin Moving cast shadow detection using scale-relation multi-layer pooling features
Tu et al. Parsing images into region and curve processes
CN116452940A (en) Three-dimensional instance segmentation method and system based on dense and sparse convolution fusion
Díaz-Cortés et al. Engineering applications of soft computing
Fan et al. Dilated Nearest-Neighbor Encoding for 3D Semantic Segmentation of Point Clouds