Spatial-Aided Low-Delay Wyner-Ziv Video Coding

被引:0
|
作者
Bo Wu
Xiangyang Ji
Debin Zhao
Wen Gao
机构
[1] Chinese Academy of Science,Digital Media Research Center, Institute of Computing Technology
[2] Tsinghua University,Department of Automation
[3] Harbin Institute of Technology,Department of Computer Science
[4] Peking University,Institute of Digital Media, School of Electronic Engineering and Computer Science
来源
EURASIP Journal on Image and Video Processing | / 2009卷
关键词
Video Code; Side Information; Auxiliary Information; Rate Distortion; Adjacent Frame;
D O I
暂无
中图分类号
学科分类号
摘要
In distributed video coding, the side information (SI) quality plays an important role in Wyner-Ziv (WZ) frame coding. Usually, SI is generated at the decoder by the motion-compensated interpolation (MCI) from the past and future key frames under the assumption that the motion trajectory between the adjacent frames is translational with constant velocity. However, this assumption is not always true and thus, the coding efficiency for WZ coding is often unsatisfactory in video with high and/or irregular motion. This situation becomes more serious in low-delay applications since only motion-compensated extrapolation (MCE) can be applied to yield SI. In this paper, a spatial-aided Wyner-Ziv video coding (WZVC) in low-delay application is proposed. In SA-WZVC, at the encoder, each WZ frame is coded as performed in the existing common Wyner-Ziv video coding scheme and meanwhile, the auxiliary information is also coded with the low-complexity DPCM. At the decoder, for the WZ frame decoding, auxiliary information should be decoded firstly and then SI is generated with the help of this auxiliary information by the spatial-aided motion-compensated extrapolation (SA-MCE). Theoretical analysis proved that when a good tradeoff between the auxiliary information coding and WZ frame coding is achieved, SA-WZVC is able to achieve better rate distortion performance than the conventional MCE-based WZVC without auxiliary information. Experimental results also demonstrate that SA-WZVC can efficiently improve the coding performance of WZVC in low-delay application.
引用
收藏
相关论文
共 50 条
  • [21] Wyner-Ziv video coding for low bitrate using spiht algorithm
    Li, Shenyuan
    Fang, Sheng
    Li, Zhe
    2007 IEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS, VOLS 1 AND 2, 2007, : 341 - 345
  • [22] Feedback-Constrained Wyner-Ziv Video Coding
    Slowack, Juergen
    Deligiannis, Nikos
    Lambert, Peter
    Munteanu, Adrian
    Van de Walle, Rik
    2012 PICTURE CODING SYMPOSIUM (PCS), 2012, : 169 - 172
  • [23] Wyner-Ziv video coding based on perception analysis
    Gu, Z.
    Lin, W.
    Xie, S.
    Lu, Z.
    2007 6TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS & SIGNAL PROCESSING, VOLS 1-4, 2007, : 494 - +
  • [24] IMPROVED BIDIRECTIONALLY DECODABLE WYNER-ZIV VIDEO CODING
    Fan, Xiaopeng
    Au, Oscar
    Zhou, Xantao
    Ma, Mengyao
    Guo, Liwei
    2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4, 2008, : 809 - 812
  • [25] A novel watermarking method for Wyner-Ziv video coding
    Zhu, Ning
    Ding, Guiguang
    Yin, Yaguang
    Wang, Jianmin
    2008 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS, 2008, : 857 - +
  • [26] Distortion Analysis of Wyner-Ziv Distributed Video Coding
    Xiang, Siyuan
    Cai, Lin
    2010 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE GLOBECOM 2010, 2010,
  • [27] On the Wyner-Ziv Source Coding Problem with Unknown Delay
    Matsuta, Tetsunao
    Uyematsu, Tomohiko
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2014, E97A (12): : 2288 - 2299
  • [28] Backward channel aware wyner-ziv video coding
    Liu, Limin
    Li, Zhen
    Delp, Edward J.
    2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 1677 - +
  • [29] Adaptive frame interpolation for Wyner-Ziv video coding
    Argyropoulos, Savvas
    Thomos, Nikolaos
    Boulgouris, Nikolaos V.
    Strintzis, Michael G.
    2007 IEEE NINTH WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING, 2007, : 159 - +
  • [30] Scalable video coding based on Wyner-Ziv Framework
    Ding, GG
    Dai, QH
    Yin, YG
    Yang, F
    Visual Communications and Image Processing 2005, Pts 1-4, 2005, 5960 : 517 - 524