• DocumentCode
    1837496
  • Title

    Complexity modeling of H.264/AVC CAVLC/UVLC entropy decoders

  • Author

    Lee, Szu Wei ; Kuo, C. C Jay

  • Author_Institution
    Univ. of Southern California, Los Angeles, CA
  • fYear
    2008
  • fDate
    18-21 May 2008
  • Firstpage
    1616
  • Lastpage
    1619
  • Abstract
    A complexity model for context-based adaptive variable length coding (CAVLC) and universal variable length coding (UVLC) in the H.264/AVC decoder is proposed. CAVLC and UVLC are used to code source data, i.e., quantized transformed coefficients (QTCs), and header data, respectively. CAVLC and UVLC are important in the baseline profile of the H.264/AVC codec since this profile targets at low complexity and low cost applications so that only CAVLC and UVLC are allowed to be the entropy coding tools. This model is verified experimentally. Possible applications of this model are also described. Since the entropy decoding complexity becomes significant in the high bit rate video due to more non-zero QTCs and motion vectors (MVs), one application scenario is to integrate this model into the H.264 encoder so that the encoder can estimate the possible decoding complexity and then select proper coding modes to generate the decoder-friendly bit streams, which are easy to decode for a particular decoding platform.
  • Keywords
    entropy codes; variable length codes; video coding; H.264/AVC CAVLC/UVLC entropy decoders; context-based adaptive variable length coding; entropy decoding complexity; universal variable length coding; Automatic voltage control; Bit rate; Decoding; Electronic mail; Encoding; Entropy coding; Image coding; Image processing; Signal processing; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1683-7
  • Electronic_ISBN
    978-1-4244-1684-4
  • Type

    conf

  • DOI
    10.1109/ISCAS.2008.4541743
  • Filename
    4541743