• DocumentCode
    2692277
  • Title

    Wyner-Ziv video coding with block classification

  • Author

    Wang, Yangli ; Jeong, Jechang ; Wu, Chengke

  • Author_Institution
    Xidian Univ., Xi´´an
  • fYear
    2008
  • fDate
    June 23 2008-April 26 2008
  • Firstpage
    741
  • Lastpage
    744
  • Abstract
    Wyner-Ziv (WZ) video coding, or lossy coding of video with decoder side information (SI), is a new video coding paradigm which provides the potential of shifting encoder complexity to decoder. Due to the fact that correlation among adjacent frames varies spatially and temporally in a video sequence, in WZ video coding, the quality of SI generated at the decoder also varies accordingly. This implies that more parity bits should be sent for locations where the quality of the SI is poor, while fewer parity bits for locations where the quality of the SI is good. For this reason, this paper proposes a WZ video coding scheme with block classification. In the scheme, according to difference between blocks in a WZ frame and its adjacent key frame, the blocks in a WZ frame are classified into classes of different importance. A strategy is designed so that the more important a class is, the more bits will be transmitted for it, and this leads to savings in bit rate. Simulation on various test video sequences shows that, compared to a similar scheme without block classification, the proposed scheme can achieve a bit rate savings of up to 42.44% with only slight PSNR loss in some cases.
  • Keywords
    image classification; image sequences; video coding; Wyner-Ziv video coding; block classification; decoder side information; lossy coding; video sequences; Bit rate; Channel coding; Decoding; Error correction codes; PSNR; Parity check codes; Testing; Transform coding; Video coding; Video sequences; Block Classification; Side Information; Wyner-Ziv Video Coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2008 IEEE International Conference on
  • Conference_Location
    Hannover
  • Print_ISBN
    978-1-4244-2570-9
  • Electronic_ISBN
    978-1-4244-2571-6
  • Type

    conf

  • DOI
    10.1109/ICME.2008.4607541
  • Filename
    4607541