The Experts below are selected from a list of 8166 Experts worldwide ranked by ideXlab platform

Congxia Dai - One of the best experts on this subject based on the ideXlab platform.

  • geometry adaptive Block Partitioning for intra prediction in image video coding
    International Conference on Image Processing, 2007
    Co-Authors: Congxia Dai, Peng Yin, Oscar Divorra Escoda, C Gomila
    Abstract:

    Many modern video coding strategies, such as the H.264/AVC standard, use quadtree-based partition structures for coding intra macroBlocks. Such a structure allows the coding algorithm to adapt to the complicated and non-stationary nature of natural images. Despite the adaptation flexibility of quadtree partitions, recent studies have shown that these are not efficient enough (in terms of rate-distortion performance) when images can be locally modeled as 2D piecewise-smooth signals. These observations motivate us to investigate the use of geometry based Block Partitioning for modeling intra data in video coding. In particular, in this paper, we study in detail the use of geometry-adaptive intra models, where wedgelet like discontinuities are used in order to define separate coding regions where different statistical/waveform modeling tools can be used. In order to implement this idea, we extend the existing H.264/AVC intra coding scheme by introducing two additional geometric modes: INTRA16X16GEO, and INTRA8X8GEO. Experimental results show that significantly improved R-D performance is achieved.

  • geometry adaptive Block Partitioning for video coding
    International Conference on Acoustics Speech and Signal Processing, 2007
    Co-Authors: Oscar Divorra Escoda, Peng Yin, Congxia Dai
    Abstract:

    Frame Partitioning is a process of key importance in efficient video coding. Most recent video compression technologies, like H.264/AVC, use tree based frame partition. This reveals to be more efficient than simple uniform Block partition, typically used in older video coding standards like MPEG-2 or H.263. However, tree based frame partition still does not code efficiently enough video information, as is unable to capture the geometric structure of 2D data. During last years, several works have been developed, mainly in the domain of still image representation and coding, in order to solve such limitations. An example is the use of wedge partitions. Based on these, in this paper, we study a way to better represent and code 2D video data by taking its 2D geometry into account. Our study is developed as an extension of H.264/AVC. Geometry-adaptive partitions are used to improve intra and inter prediction modes. Results obtained with the investigated method show that both better R-D and visual performance can be achieved.

  • ICIP (6) - Geometry-Adaptive Block Partitioning for Intra Prediction in Image & Video Coding
    2007 IEEE International Conference on Image Processing, 2007
    Co-Authors: Congxia Dai, Peng Yin, Oscar Divorra Escoda, C Gomila
    Abstract:

    Many modern video coding strategies, such as the H.264/AVC standard, use quadtree-based partition structures for coding intra macroBlocks. Such a structure allows the coding algorithm to adapt to the complicated and non-stationary nature of natural images. Despite the adaptation flexibility of quadtree partitions, recent studies have shown that these are not efficient enough (in terms of rate-distortion performance) when images can be locally modeled as 2D piecewise-smooth signals. These observations motivate us to investigate the use of geometry based Block Partitioning for modeling intra data in video coding. In particular, in this paper, we study in detail the use of geometry-adaptive intra models, where wedgelet like discontinuities are used in order to define separate coding regions where different statistical/waveform modeling tools can be used. In order to implement this idea, we extend the existing H.264/AVC intra coding scheme by introducing two additional geometric modes: INTRA16X16GEO, and INTRA8X8GEO. Experimental results show that significantly improved R-D performance is achieved.

  • ICASSP (1) - Geometry-Adaptive Block Partitioning for Video Coding
    2007 IEEE International Conference on Acoustics Speech and Signal Processing - ICASSP '07, 2007
    Co-Authors: Oscar Divorra Escoda, Peng Yin, Congxia Dai
    Abstract:

    Frame Partitioning is a process of key importance in efficient video coding. Most recent video compression technologies, like H.264/AVC, use tree based frame partition. This reveals to be more efficient than simple uniform Block partition, typically used in older video coding standards like MPEG-2 or H.263. However, tree based frame partition still does not code efficiently enough video information, as is unable to capture the geometric structure of 2D data. During last years, several works have been developed, mainly in the domain of still image representation and coding, in order to solve such limitations. An example is the use of wedge partitions. Based on these, in this paper, we study a way to better represent and code 2D video data by taking its 2D geometry into account. Our study is developed as an extension of H.264/AVC. Geometry-adaptive partitions are used to improve intra and inter prediction modes. Results obtained with the investigated method show that both better R-D and visual performance can be achieved.

Philippe Bordes - One of the best experts on this subject based on the ideXlab platform.

  • cnn based driving of Block Partitioning for intra slices encoding
    arXiv: Multimedia, 2020
    Co-Authors: Franck Galpin, Philippe Bordes, Fabien Racape, Sunil Prasad Jaiswal, Fabrice Le Leannec, Edouard Francois
    Abstract:

    This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the Block Partitioning in intra slices. An encoding approach based on Convolutional Neural Networks is explored to partly substitute classical heuristics-based encoder speed-ups by a systematic and automatic process. The solution allows controlling the trade-off between complexity and coding gains, in intra slices, with one single parameter. This algorithm was proposed at the Call for Proposals of the Joint Video Exploration Team (JVET) on video compression with capability beyond HEVC. In All Intra configuration, for a given allowed topology of splits, a speed-up of $\times 2$ is obtained without BD-rate loss, or a speed-up above $\times 4$ with a loss below 1\% in BD-rate.

  • Hybrid Video Codec Based on Flexible Block Partitioning With Extensions to the Joint Exploration Model
    IEEE Transactions on Circuits and Systems for Video Technology, 2020
    Co-Authors: Chien Wei-jung, Muhammed Zeyd Coban, Dong Jie, Hilmi E. Egilmez, Hu Nan, Marta Karczewicz, Amir Said, Vadim Seregin, Geert Van Der Auwera, Philippe Bordes
    Abstract:

    This article describes the main video coding technologies included in a joint proposal submitted by Qualcomm and Technicolor, in response to a Call for Proposals (CfP) issued by ITU-T SG16 WP3 Q.6 (VCEG) and ISO/IEC JTC1/SC29/WG11 (MPEG) in Oct. 2017. The proposal contains the majority of the tools that have been adopted into the Joint Exploration Model (JEM), developed in the exploratory phase that preceded the CfP. A flexible multi-tree type (MTT) Block-Partitioning scheme is proposed to extend the quadtree and binary tree (QTBT) based Partitioning in JEM by including triple tree (TT) and asymmetric binary tree (ABT) partitions. In addition, several JEM tools in intra and inter prediction, transforms and arithmetic coding are modified, and new tools such as sign prediction and motion compensated padding are proposed. Objective standard dynamic range (SDR) gains of 43.1% and 15.5% in terms of average luma BD-rate improvement have been achieved for the CfP constraint set 1 (random-access configuration) relative to HEVC/H.265 (HM) and JEM anchors, respectively. For the CfP constraint set 2 (low-delay configuration), the average luma BD-rate improvements are 33.7% relative to the HM anchor and 12.7% relative to the JEM anchor. The proposed codec scored highly in both subjective evaluations and objective metrics and was among the best-performing CfP proposals.

  • cnn based driving of Block Partitioning for intra slices encoding
    Data Compression Conference, 2019
    Co-Authors: Franck Galpin, Philippe Bordes, Fabien Racape, Sunil Prasad Jaiswal, Fabrice Le Leannec, Edouard Francois
    Abstract:

    This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the Block Partitioning in intra slices. An encoding approach based on Convolutional Neural Networks is explored to partly substitute classical heuristics-based encoder speed-ups by a systematic and automatic process. The solution allows controlling the trade-off between complexity and coding gains, in intra slices, with one single parameter. This algorithm was proposed at the Call for Proposals of the Joint Video Exploration Team (JVET) on video compression with capability beyond HEVC. In All Intra configuration, for a given allowed topology of splits, a speed-up of ×2 is obtained without BD-rate loss, or a speed-up above ×4 with a loss below 1% in BD-rate.

  • DCC - CNN-Based Driving of Block Partitioning for Intra Slices Encoding
    2019 Data Compression Conference (DCC), 2019
    Co-Authors: Franck Galpin, Philippe Bordes, Fabien Racape, Sunil Prasad Jaiswal, Fabrice Le Leannec, Edouard Francois
    Abstract:

    This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the Block Partitioning in intra slices. An encoding approach based on Convolutional Neural Networks is explored to partly substitute classical heuristics-based encoder speed-ups by a systematic and automatic process. The solution allows controlling the trade-off between complexity and coding gains, in intra slices, with one single parameter. This algorithm was proposed at the Call for Proposals of the Joint Video Exploration Team (JVET) on video compression with capability beyond HEVC. In All Intra configuration, for a given allowed topology of splits, a speed-up of ×2 is obtained without BD-rate loss, or a speed-up above ×4 with a loss below 1% in BD-rate.

  • fast encoding algorithms for geometry adaptive Block Partitioning
    International Conference on Image Processing, 2011
    Co-Authors: Philippe Bordes, Edouard Francois, Dominique Thoreau
    Abstract:

    State-of-the-art video compression technologies, such as MPEG-4 AVC/H.264 or the new HEVC standard being developed by ISO MPEG and ITU-T VCEG, make use of tree-structured Block Partitioning for motion compensation. Such motion Partitioning only captures horizontal and vertical motion boundaries. To better match actual motion frontiers, Geometry adaptive Block Partitioning (GEO) has been explored for several years. GEO enables splitting a Block using non-horizontal or non-vertical line. Although noticeable coding efficiency gains can be obtained, GEO involves a significant increase of the number of modes to be tested with therefore a high impact on encoding complexity. This paper presents fast algorithms aiming at controlling the complexity while saving the coding efficiency gains of GEO. Experimental results are provided on top of the HEVC standard, demonstrating first the efficiency of the GEO tool. Simplified versions, offering noticeable complexity reduction with limited rate-distortion performance loss, are also demonstrated and compared.

Peng Yin - One of the best experts on this subject based on the ideXlab platform.

  • simplified geometry adaptive Block Partitioning for video coding
    International Conference on Image Processing, 2010
    Co-Authors: Liwei Guo, Peng Yin, Yunfei Zheng, Joel Sole
    Abstract:

    Geometry-adaptive Block Partitioning (GEO) can greatly enhance video coding efficiency but at the expense of significantly increased computational complexity. Instead of proposing fast searching algorithm for encoding only [1, 2], this paper proposes to reduce the size of partitions for both the encoder and the decoder. The proposed scheme only searches partitions recognized as most valuable partitions, which is derived by analyzing different GEO partitions from the contribution to the coding efficiency. On the one hand, by only searching limited number of partitions, the encoder computation burden is much alleviated and the decoder needs to handle fewer cases. On the other hand, restricting the number of candidate partitions causes fewer overhead bits. Results obtained in the experiments show that compared to the original GEO, the proposed scheme can achieve similar coding efficiency at much lower complexity.

  • ICIP - Simplified geometry-adaptive Block Partitioning for video coding
    2010 IEEE International Conference on Image Processing, 2010
    Co-Authors: Liwei Guo, Peng Yin, Yunfei Zheng, Joel Sole
    Abstract:

    Geometry-adaptive Block Partitioning (GEO) can greatly enhance video coding efficiency but at the expense of significantly increased computational complexity. Instead of proposing fast searching algorithm for encoding only [1, 2], this paper proposes to reduce the size of partitions for both the encoder and the decoder. The proposed scheme only searches partitions recognized as most valuable partitions, which is derived by analyzing different GEO partitions from the contribution to the coding efficiency. On the one hand, by only searching limited number of partitions, the encoder computation burden is much alleviated and the decoder needs to handle fewer cases. On the other hand, restricting the number of candidate partitions causes fewer overhead bits. Results obtained in the experiments show that compared to the original GEO, the proposed scheme can achieve similar coding efficiency at much lower complexity.

  • geometry adaptive Block Partitioning for intra prediction in image video coding
    International Conference on Image Processing, 2007
    Co-Authors: Congxia Dai, Peng Yin, Oscar Divorra Escoda, C Gomila
    Abstract:

    Many modern video coding strategies, such as the H.264/AVC standard, use quadtree-based partition structures for coding intra macroBlocks. Such a structure allows the coding algorithm to adapt to the complicated and non-stationary nature of natural images. Despite the adaptation flexibility of quadtree partitions, recent studies have shown that these are not efficient enough (in terms of rate-distortion performance) when images can be locally modeled as 2D piecewise-smooth signals. These observations motivate us to investigate the use of geometry based Block Partitioning for modeling intra data in video coding. In particular, in this paper, we study in detail the use of geometry-adaptive intra models, where wedgelet like discontinuities are used in order to define separate coding regions where different statistical/waveform modeling tools can be used. In order to implement this idea, we extend the existing H.264/AVC intra coding scheme by introducing two additional geometric modes: INTRA16X16GEO, and INTRA8X8GEO. Experimental results show that significantly improved R-D performance is achieved.

  • geometry adaptive Block Partitioning for video coding
    International Conference on Acoustics Speech and Signal Processing, 2007
    Co-Authors: Oscar Divorra Escoda, Peng Yin, Congxia Dai
    Abstract:

    Frame Partitioning is a process of key importance in efficient video coding. Most recent video compression technologies, like H.264/AVC, use tree based frame partition. This reveals to be more efficient than simple uniform Block partition, typically used in older video coding standards like MPEG-2 or H.263. However, tree based frame partition still does not code efficiently enough video information, as is unable to capture the geometric structure of 2D data. During last years, several works have been developed, mainly in the domain of still image representation and coding, in order to solve such limitations. An example is the use of wedge partitions. Based on these, in this paper, we study a way to better represent and code 2D video data by taking its 2D geometry into account. Our study is developed as an extension of H.264/AVC. Geometry-adaptive partitions are used to improve intra and inter prediction modes. Results obtained with the investigated method show that both better R-D and visual performance can be achieved.

  • ICIP (6) - Geometry-Adaptive Block Partitioning for Intra Prediction in Image & Video Coding
    2007 IEEE International Conference on Image Processing, 2007
    Co-Authors: Congxia Dai, Peng Yin, Oscar Divorra Escoda, C Gomila
    Abstract:

    Many modern video coding strategies, such as the H.264/AVC standard, use quadtree-based partition structures for coding intra macroBlocks. Such a structure allows the coding algorithm to adapt to the complicated and non-stationary nature of natural images. Despite the adaptation flexibility of quadtree partitions, recent studies have shown that these are not efficient enough (in terms of rate-distortion performance) when images can be locally modeled as 2D piecewise-smooth signals. These observations motivate us to investigate the use of geometry based Block Partitioning for modeling intra data in video coding. In particular, in this paper, we study in detail the use of geometry-adaptive intra models, where wedgelet like discontinuities are used in order to define separate coding regions where different statistical/waveform modeling tools can be used. In order to implement this idea, we extend the existing H.264/AVC intra coding scheme by introducing two additional geometric modes: INTRA16X16GEO, and INTRA8X8GEO. Experimental results show that significantly improved R-D performance is achieved.

Oscar Divorra Escoda - One of the best experts on this subject based on the ideXlab platform.

  • geometry adaptive Block Partitioning for intra prediction in image video coding
    International Conference on Image Processing, 2007
    Co-Authors: Congxia Dai, Peng Yin, Oscar Divorra Escoda, C Gomila
    Abstract:

    Many modern video coding strategies, such as the H.264/AVC standard, use quadtree-based partition structures for coding intra macroBlocks. Such a structure allows the coding algorithm to adapt to the complicated and non-stationary nature of natural images. Despite the adaptation flexibility of quadtree partitions, recent studies have shown that these are not efficient enough (in terms of rate-distortion performance) when images can be locally modeled as 2D piecewise-smooth signals. These observations motivate us to investigate the use of geometry based Block Partitioning for modeling intra data in video coding. In particular, in this paper, we study in detail the use of geometry-adaptive intra models, where wedgelet like discontinuities are used in order to define separate coding regions where different statistical/waveform modeling tools can be used. In order to implement this idea, we extend the existing H.264/AVC intra coding scheme by introducing two additional geometric modes: INTRA16X16GEO, and INTRA8X8GEO. Experimental results show that significantly improved R-D performance is achieved.

  • geometry adaptive Block Partitioning for video coding
    International Conference on Acoustics Speech and Signal Processing, 2007
    Co-Authors: Oscar Divorra Escoda, Peng Yin, Congxia Dai
    Abstract:

    Frame Partitioning is a process of key importance in efficient video coding. Most recent video compression technologies, like H.264/AVC, use tree based frame partition. This reveals to be more efficient than simple uniform Block partition, typically used in older video coding standards like MPEG-2 or H.263. However, tree based frame partition still does not code efficiently enough video information, as is unable to capture the geometric structure of 2D data. During last years, several works have been developed, mainly in the domain of still image representation and coding, in order to solve such limitations. An example is the use of wedge partitions. Based on these, in this paper, we study a way to better represent and code 2D video data by taking its 2D geometry into account. Our study is developed as an extension of H.264/AVC. Geometry-adaptive partitions are used to improve intra and inter prediction modes. Results obtained with the investigated method show that both better R-D and visual performance can be achieved.

  • ICIP (6) - Geometry-Adaptive Block Partitioning for Intra Prediction in Image & Video Coding
    2007 IEEE International Conference on Image Processing, 2007
    Co-Authors: Congxia Dai, Peng Yin, Oscar Divorra Escoda, C Gomila
    Abstract:

    Many modern video coding strategies, such as the H.264/AVC standard, use quadtree-based partition structures for coding intra macroBlocks. Such a structure allows the coding algorithm to adapt to the complicated and non-stationary nature of natural images. Despite the adaptation flexibility of quadtree partitions, recent studies have shown that these are not efficient enough (in terms of rate-distortion performance) when images can be locally modeled as 2D piecewise-smooth signals. These observations motivate us to investigate the use of geometry based Block Partitioning for modeling intra data in video coding. In particular, in this paper, we study in detail the use of geometry-adaptive intra models, where wedgelet like discontinuities are used in order to define separate coding regions where different statistical/waveform modeling tools can be used. In order to implement this idea, we extend the existing H.264/AVC intra coding scheme by introducing two additional geometric modes: INTRA16X16GEO, and INTRA8X8GEO. Experimental results show that significantly improved R-D performance is achieved.

  • ICASSP (1) - Geometry-Adaptive Block Partitioning for Video Coding
    2007 IEEE International Conference on Acoustics Speech and Signal Processing - ICASSP '07, 2007
    Co-Authors: Oscar Divorra Escoda, Peng Yin, Congxia Dai
    Abstract:

    Frame Partitioning is a process of key importance in efficient video coding. Most recent video compression technologies, like H.264/AVC, use tree based frame partition. This reveals to be more efficient than simple uniform Block partition, typically used in older video coding standards like MPEG-2 or H.263. However, tree based frame partition still does not code efficiently enough video information, as is unable to capture the geometric structure of 2D data. During last years, several works have been developed, mainly in the domain of still image representation and coding, in order to solve such limitations. An example is the use of wedge partitions. Based on these, in this paper, we study a way to better represent and code 2D video data by taking its 2D geometry into account. Our study is developed as an extension of H.264/AVC. Geometry-adaptive partitions are used to improve intra and inter prediction modes. Results obtained with the investigated method show that both better R-D and visual performance can be achieved.

Edouard Francois - One of the best experts on this subject based on the ideXlab platform.

  • cnn based driving of Block Partitioning for intra slices encoding
    arXiv: Multimedia, 2020
    Co-Authors: Franck Galpin, Philippe Bordes, Fabien Racape, Sunil Prasad Jaiswal, Fabrice Le Leannec, Edouard Francois
    Abstract:

    This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the Block Partitioning in intra slices. An encoding approach based on Convolutional Neural Networks is explored to partly substitute classical heuristics-based encoder speed-ups by a systematic and automatic process. The solution allows controlling the trade-off between complexity and coding gains, in intra slices, with one single parameter. This algorithm was proposed at the Call for Proposals of the Joint Video Exploration Team (JVET) on video compression with capability beyond HEVC. In All Intra configuration, for a given allowed topology of splits, a speed-up of $\times 2$ is obtained without BD-rate loss, or a speed-up above $\times 4$ with a loss below 1\% in BD-rate.

  • cnn based driving of Block Partitioning for intra slices encoding
    Data Compression Conference, 2019
    Co-Authors: Franck Galpin, Philippe Bordes, Fabien Racape, Sunil Prasad Jaiswal, Fabrice Le Leannec, Edouard Francois
    Abstract:

    This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the Block Partitioning in intra slices. An encoding approach based on Convolutional Neural Networks is explored to partly substitute classical heuristics-based encoder speed-ups by a systematic and automatic process. The solution allows controlling the trade-off between complexity and coding gains, in intra slices, with one single parameter. This algorithm was proposed at the Call for Proposals of the Joint Video Exploration Team (JVET) on video compression with capability beyond HEVC. In All Intra configuration, for a given allowed topology of splits, a speed-up of ×2 is obtained without BD-rate loss, or a speed-up above ×4 with a loss below 1% in BD-rate.

  • DCC - CNN-Based Driving of Block Partitioning for Intra Slices Encoding
    2019 Data Compression Conference (DCC), 2019
    Co-Authors: Franck Galpin, Philippe Bordes, Fabien Racape, Sunil Prasad Jaiswal, Fabrice Le Leannec, Edouard Francois
    Abstract:

    This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the Block Partitioning in intra slices. An encoding approach based on Convolutional Neural Networks is explored to partly substitute classical heuristics-based encoder speed-ups by a systematic and automatic process. The solution allows controlling the trade-off between complexity and coding gains, in intra slices, with one single parameter. This algorithm was proposed at the Call for Proposals of the Joint Video Exploration Team (JVET) on video compression with capability beyond HEVC. In All Intra configuration, for a given allowed topology of splits, a speed-up of ×2 is obtained without BD-rate loss, or a speed-up above ×4 with a loss below 1% in BD-rate.

  • fast encoding algorithms for geometry adaptive Block Partitioning
    International Conference on Image Processing, 2011
    Co-Authors: Philippe Bordes, Edouard Francois, Dominique Thoreau
    Abstract:

    State-of-the-art video compression technologies, such as MPEG-4 AVC/H.264 or the new HEVC standard being developed by ISO MPEG and ITU-T VCEG, make use of tree-structured Block Partitioning for motion compensation. Such motion Partitioning only captures horizontal and vertical motion boundaries. To better match actual motion frontiers, Geometry adaptive Block Partitioning (GEO) has been explored for several years. GEO enables splitting a Block using non-horizontal or non-vertical line. Although noticeable coding efficiency gains can be obtained, GEO involves a significant increase of the number of modes to be tested with therefore a high impact on encoding complexity. This paper presents fast algorithms aiming at controlling the complexity while saving the coding efficiency gains of GEO. Experimental results are provided on top of the HEVC standard, demonstrating first the efficiency of the GEO tool. Simplified versions, offering noticeable complexity reduction with limited rate-distortion performance loss, are also demonstrated and compared.

  • ICIP - Fast encoding algorithms for geometry-adaptive Block Partitioning
    2011 18th IEEE International Conference on Image Processing, 2011
    Co-Authors: Philippe Bordes, Edouard Francois, Dominique Thoreau
    Abstract:

    State-of-the-art video compression technologies, such as MPEG-4 AVC/H.264 or the new HEVC standard being developed by ISO MPEG and ITU-T VCEG, make use of tree-structured Block Partitioning for motion compensation. Such motion Partitioning only captures horizontal and vertical motion boundaries. To better match actual motion frontiers, Geometry adaptive Block Partitioning (GEO) has been explored for several years. GEO enables splitting a Block using non-horizontal or non-vertical line. Although noticeable coding efficiency gains can be obtained, GEO involves a significant increase of the number of modes to be tested with therefore a high impact on encoding complexity. This paper presents fast algorithms aiming at controlling the complexity while saving the coding efficiency gains of GEO. Experimental results are provided on top of the HEVC standard, demonstrating first the efficiency of the GEO tool. Simplified versions, offering noticeable complexity reduction with limited rate-distortion performance loss, are also demonstrated and compared.