• DocumentCode
    1127823
  • Title

    Multiple Description Video Coding With H.264/AVC Redundant Pictures

  • Author

    Radulovic, Ivana ; Frossard, Pascal ; Wang, Ye-Kui ; Hannuksela, Miska M. ; Hallapuro, Antti

  • Author_Institution
    Signal Process. Lab. (LTS4, Ecole Polytech. Fed. de Lausanne, Stockholm, Sweden
  • Volume
    20
  • Issue
    1
  • fYear
    2010
  • Firstpage
    144
  • Lastpage
    148
  • Abstract
    Multiple description coding offers interesting solutions for error resilient multimedia communications as well as for distributed streaming applications. In this letter, we propose a scheme based on H.264/AVC for encoding of image sequences into multiple descriptions. The pictures are split into multiple coding threads. Redundant pictures are inserted periodically in order to increase the resilience to loss and to reduce the error propagation. They are produced with different reference frames than the corresponding primary pictures. We show, given the channel conditions, how to optimally allocate the rates to primary and redundant pictures, such that the total distortion at the receiver is minimized. Extensive experiments demonstrate that the proposed scheme outperforms baseline solutions based on loss and content-adaptive intra coding. Finally, we show how to further reduce the distortion by efficient combination of primary and redundant pictures, if both are available at the decoder.
  • Keywords
    image sequences; multimedia communication; video coding; H.264/AVC redundant pictures; baseline solutions; content-adaptive intracoding; distributed streaming applications; error resilient multimedia communications; image sequences; multiple description video coding; Decoding; Image coding; Image sequences; Multimedia communication; Propagation losses; Resilience; Streaming media; Video coding; H264/AVC; multiple description video coding; redundant pictures;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2009.2026815
  • Filename
    5159420