• DocumentCode
    2707421
  • Title

    MINMAX bit allocation for quantization-based video coders

  • Author

    Shavit, Gidon ; Ladner, Richard E. ; Riskin, Eve A.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Washington, Seattle, WA, USA
  • fYear
    2005
  • fDate
    29-31 March 2005
  • Firstpage
    299
  • Lastpage
    308
  • Abstract
    Ringenburg et al. (2004) developed MultiStage, a bit-allocation algorithm for embedded video coders, that generates near-constant quality sequences. In this work, we show how the algorithm can be applied to quantization-based coders, and implement it for H.263. We also describe a novel approach for block-level bit allocation for H.263, cast as a variation on the multiple-choice knapsack problem, and show how to solve it efficiently with dynamic programming. Our results show that very stable quality can be achieved using relatively few coding iterations, with very little sacrifice in mean distortion.
  • Keywords
    code standards; data compression; dynamic programming; embedded systems; image sequences; iterative methods; knapsack problems; minimax techniques; rate distortion theory; video codecs; video coding; H.263; MINMAX bit allocation; MultiStage; block-level bit allocation; coding iterations; dynamic programming; embedded video coders; mean distortion; multiple-choice knapsack problem; near-constant quality sequences; quantization-based video coders; Bit rate; Code standards; Computer science; Constraint optimization; Distortion measurement; Dynamic programming; Lagrangian functions; Minimax techniques; Rate distortion theory; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2005. Proceedings. DCC 2005
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-2309-9
  • Type

    conf

  • DOI
    10.1109/DCC.2005.53
  • Filename
    1402191