• DocumentCode
    463510
  • Title

    Geometry-Adaptive Block Partitioning for Video Coding

  • Author

    Escoda, O.D. ; Peng Yin ; Congxia Dai ; Xin Li

  • Author_Institution
    Thomson Corp. Res., Princeton, NJ, USA
  • Volume
    1
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Abstract
    Frame partitioning is a process of key importance in efficient video coding. Most recent video compression technologies, like H.264/AVC, use tree based frame partition. This reveals to be more efficient than simple uniform block partition, typically used in older video coding standards like MPEG-2 or H.263. However, tree based frame partition still does not code efficiently enough video information, as is unable to capture the geometric structure of 2D data. During last years, several works have been developed, mainly in the domain of still image representation and coding, in order to solve such limitations. An example is the use of wedge partitions. Based on these, in this paper, we study a way to better represent and code 2D video data by taking its 2D geometry into account. Our study is developed as an extension of H.264/AVC. Geometry-adaptive partitions are used to improve intra and inter prediction modes. Results obtained with the investigated method show that both better R-D and visual performance can be achieved.
  • Keywords
    data compression; image representation; video coding; H.264-AVC; MPEG-2; geometric structure; geometry-adaptive block partitioning; image representation; tree based frame partition; uniform block partition; video coding standards; video compression technologies; Automatic voltage control; Geometry; Image coding; Image representation; Motion compensation; Predictive models; Rate-distortion; Transform coding; Video coding; Video compression; Geometry-Adaptive partitions; Intra/Inter Prediction; Motion compensation; Video Coding; Wedges;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.365993
  • Filename
    4217165