• DocumentCode
    3276295
  • Title

    Modification of the merge candidate list for dependent views in 3D-HEVC

  • Author

    Mora, E.-G. ; Jung, J. ; Cagnazzo, M. ; Pesquet-Popescu, B.

  • Author_Institution
    Orange Labs., Issy-les-Moulineaux, France
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    1709
  • Lastpage
    1713
  • Abstract
    A test model for an HEVC-based 3D video coding standard (3D-HEVC) has recently been drafted. 3D-HEVC exploits inter-view redundancies by including disparity-compensated prediction (DCP) for efficient dependent view coding. It also uses the Merge coding mode to reduce the cost of motion / disparity parameters. However, the candidates in the Merge list are mostly temporal motion vectors. DCP does not often benefit from accurate predictors and is thus costly. Consequently, motion-compensated prediction (MCP) remains largely preferred. In this paper, we propose to reduce the cost of DCP by modifying the Merge candidate list to always include a disparity vector candidate. Two methods are proposed: the new candidate is either added in the secondary or in the primary list of candidates. The latter method, which achieves average bitrate reductions of 0.6% for dependent views, and 0.2% for coded and synthesized views, was adopted in both the 3D-HEVC working draft and software.
  • Keywords
    motion compensation; stereo image processing; video coding; 3D-HEVC; HEVC-based 3D video coding standard; bitrate reductions; dependent view coding; disparity parameters; disparity vector candidate; disparity-compensated prediction; inter-view redundancies; merge candidate list; merge coding mode; motion parameters; motion-compensated prediction; temporal motion vectors; 3D-HEVC; Merge candidate list; dependent view coding; disparity-compensated prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738352
  • Filename
    6738352