• DocumentCode
    1873734
  • Title

    Macroblock-based retransmission for error-resilient video streaming

  • Author

    Schmidt, J. Christian ; Rose, Kenneth

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2308
  • Lastpage
    2311
  • Abstract
    This paper revisits the problem of source-channel coding for error-resilient video streaming. We propose a new method to enable adaptive redundancy in the bitstream: fine-grain retransmission. Redundancy decisions are made per macroblock (MB), which are locally adaptive and of low overhead, as opposed to coarse packet-level redundancy (e.g. forward error correction). In this scheme, the encoder jointly optimizes the coding mode and redundancy per MB. A corresponding algorithm is presented for exploiting this redundancy at the decoder. The proposed method is general in nature, and can be implemented on top of any (hybrid) video codec. An example implementation is provided, which uses the redundant slice mechanism of H.264 (JM 13.2 reference software). Simulation results show significant performance gains over conventional error-resilient coding techniques.
  • Keywords
    adaptive codes; block codes; channel coding; code standards; decoding; redundancy; source coding; video coding; video streaming; H.264 standard; adaptive redundancy coding; coarse packet-level redundancy; decoder; error-resilient video streaming; fine-grain retransmission; macroblock-based retransmission; source-channel coding; Automatic repeat request; Computer errors; Costs; Decoding; Forward error correction; Propagation losses; Recursive estimation; Redundancy; Resilience; Streaming media; H.264; adaptive retransmission; error resilience; redundant slices; video streaming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712253
  • Filename
    4712253