• DocumentCode
    1559978
  • Title

    Matching-pursuit video coding .II. Operational models for rate and distortion

  • Author

    Neff, Ralph ; Zakhor, Avideh

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    12
  • Issue
    1
  • fYear
    2002
  • fDate
    1/1/2002 12:00:00 AM
  • Firstpage
    27
  • Lastpage
    39
  • Abstract
    For pt. I see ibid., vol.12 , no.1, (2000).We introduce two models for predicting the rate and distortion of the matching-pursuit video codec. The first model is based on a pre-coding analysis pass using the full matching-pursuit dictionary. The second model is based on a reduced-complexity analysis pass. We evaluate these models for use within existing rate-distortion optimization techniques. Our prediction results suggest that the models have sufficient accuracy to be useful in this context, and that significant complexity reductions could be achieved compared to exact rate-distortion computation
  • Keywords
    computational complexity; data compression; image matching; optimisation; prediction theory; rate distortion theory; video codecs; video coding; distortion prediction; exact rate-distortion computation; matching-pursuit dictionary; matching-pursuit video coding; operational models; pre-coding analysis; rate distortion optimization; rate prediction; rate-distortion models; reduced-complexity analysis pass; video coding; Discrete cosine transforms; Encoding; Matching pursuit algorithms; Optimal control; Optimization methods; Predictive models; Rate distortion theory; Rate-distortion; Video codecs; Video coding;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/76.981843
  • Filename
    981843