• DocumentCode
    2939234
  • Title

    A hierarchical mode decision scheme for fast implementation of spatially scalable video coding

  • Author

    Xin Lu ; Martin, Graham R.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Warwick, Coventry, UK
  • fYear
    2012
  • fDate
    27-30 Nov. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In order to improve coding efficiency, a new inter-layer prediction mechanism is incorporated in the SVC extension of H.264/AVC. This utilizes information from the base layer to inform the process of coding the enhancement layer. However this increases the computational requirement. A fast mode decision algorithm that exploits the correlation of a macroblock in the enhancement layer and both the corresponding macroblock in the base layer and neighbouring macroblocks, is proposed. The algorithm also assesses the homogeneity of the picture content and uses the mode information of the base layer to make faster mode selections in the enhancement layer. The fact that larger partition sizes are more suitable for homogeneous regions, and vice versa, is also exploited. Empirical evaluation of the proposed algorithm shows that, for similar rate distortion performance, encoding time is reduced by up to 84% compared with the JSVM9.18 software implementation.
  • Keywords
    correlation methods; encoding; rate distortion theory; video coding; H.264/AVC; base layer; computational requirement; encoding time; hierarchical mode decision scheme; homogeneous regions; inter-layer prediction; macroblock correlation; mode information; neighbouring macroblocks; picture content; rate distortion performance; spatially scalable video coding; Accuracy; Correlation; Encoding; PSNR; Static VAr compensators; Video coding; Video sequences; Fast mode decision; Inter-layer prediction; Mode correlation; Scalable Video Coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2012 IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4405-0
  • Electronic_ISBN
    978-1-4673-4406-7
  • Type

    conf

  • DOI
    10.1109/VCIP.2012.6410746
  • Filename
    6410746