• DocumentCode
    2575741
  • Title

    Prioritized side information correction for distributed video coding

  • Author

    Sun, Yu-Chen ; Lian, Shiau-Yu ; Tsai, Chun-Jen

  • Author_Institution
    Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2009
  • fDate
    6-8 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, a distributed video coding technique with prioritized channel coding of W-Z frames is presented. In the proposed framework, W-Z frame macroblocks are classified into different groups based on the estimated quality of the side information. The information is transmitted via uplink channel back to the encoder so that macroblocks with similar error statistics can be grouped tighter in same coding blocks for channel coding. With this approach, decoder can request more parity bits to correct macroblocks whose side information quality is worse and request less parity bits for macroblocks with smaller side information errors. Initial experimental results show that the proposed technique can improve the R-D performance of both pixel-domain and transform-domain DVC codecs considerably.
  • Keywords
    block codes; channel coding; decoding; distributed algorithms; error statistics; image classification; transforms; video codecs; video coding; R-D performance; W-Z frame macroblock classification; coding block; distributed video coding algorithm; error statistics; information quality; parity bit; pixel-domain DVC codecs; prioritized channel coding; prioritized side information correction; transform-domain DVC codecs; video decoder; video encoder; Channel coding; Codecs; Computer science; Decoding; Error analysis; Error correction; Error correction codes; Mobile computing; Sun; Video coding; Wyner-Ziv coding; distributed video coding; motion-compensated prediction; side information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium, 2009. PCS 2009
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-4593-6
  • Electronic_ISBN
    978-1-4244-4594-3
  • Type

    conf

  • DOI
    10.1109/PCS.2009.5167347
  • Filename
    5167347