• DocumentCode
    1043029
  • Title

    Optimal Motion Estimation for Wavelet Motion Compensated Video Coding

  • Author

    Cagnazzo, Marco ; Castaldo, Filippo ; André, Thomas ; Antonini, Marc ; Barlaud, Michel

  • Author_Institution
    Naples Univ., Naples
  • Volume
    17
  • Issue
    7
  • fYear
    2007
  • fDate
    7/1/2007 12:00:00 AM
  • Firstpage
    907
  • Lastpage
    911
  • Abstract
    Wavelet-based coding is emerging as a promising framework for efficient and scalable compression of video. Nevertheless, a number of basic tools currently employed in this field have been conceived for hybrid block-based transform coding. This is the case of motion estimation, which generally aims to minimize the energy or the absolute sum of prediction error. However, as wavelet video coders do not employ predictive coding, this is no longer an optimal approach. In this paper we study the problem of the theoretical optimal criterion for wavelet-based video coders, using coding gain as merit figure. A simple solution has been found for a peculiar but useful class of temporal filters. Experiments confirm that the optimally estimated vectors increase the coding gain as well as the performance of a complete video coder, but at the cost of an augmented complexity.
  • Keywords
    block codes; motion estimation; transform coding; video coding; wavelet transforms; hybrid block-based transform coding; optimal motion estimation; theoretical optimal criterion; video compression; wavelet motion compensated video coding; Character generation; Filters; Frequency; Motion estimation; Performance gain; Predictive coding; Transform coding; Video coding; Video compression; Wavelet transforms; MC wavelet transform; Motion-compensated (MC) lifting schemes; motion estimation (ME); wavelet 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/TCSVT.2007.897110
  • Filename
    4265618