• DocumentCode
    382212
  • Title

    Drift management and adaptive bit rate allocation in scalable video coding

  • Author

    Yang, Hua ; Zhang, Rui ; Rose, Kenneth

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Abstract
    This paper is concerned with performance optimization of point-to-point communication of scalable video over lossy networks. A variant of the recursive optimal per-pixel estimate (ROPE) is developed and embedded within a rate-distortion (RD) optimized mode selection scheme for SNR scalable video coding. The system allows predicting the current base layer frame from past enhancement layer frame data. Drift management and adaptive bit rate allocation are both RD optimized within this framework. The ROPE method. ensures accurate estimation (at the encoder) of the over-all decoder distortion, which is critical to the substantial performance gains achieved. A low complexity layer sequential optimization scheme is proposed as well, which approximate!; the more complex joint optimization scheme, while maintaining most of the performance gains.
  • Keywords
    rate distortion theory; video coding; visual communication; ROPE method; SNR; adaptive bit rate allocation; base layer frame; decoder distortion; drift management; enhancement layer frame; lossy networks; low complexity layer sequential optimization scheme; point-to-point communication; rate-distortion optimized mode selection scheme; recursive optimal per-pixel estimate; scalable video coding; video transmission; Bit rate; Decoding; Degradation; Intelligent networks; MPEG 4 Standard; Optimization; Performance gain; Propagation losses; Video coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing. 2002. Proceedings. 2002 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7622-6
  • Type

    conf

  • DOI
    10.1109/ICIP.2002.1039884
  • Filename
    1039884