• DocumentCode
    3278404
  • Title

    Depth-based prediction mode for 3D video coding

  • Author

    Can Bal ; Nguyen, Truong Q.

  • Author_Institution
    Electr. & Comput. Eng., Univ. of California, San Diego, La Jolla, CA, USA
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    2187
  • Lastpage
    2191
  • Abstract
    With emerging multiview displays there is an interest in a new 3D video (3DV) representation and compression standard, which contains depth information, so that virtual views can be synthesized at the decoder from a sparse set of anchor views. With such a representation the depth map can also be utilized to increase video coding efficiency. In this work, we propose a novel depth-based prediction mode that increases inter-view prediction efficiency. The proposed mode is designed such that the syntax is simple and efficient to signal, and it is compatible with existing H.264/MVC modes. This design allows the encoder to choose between the proposed and existing prediction modes by a simple rate-distortion optimization decision. We show that depending on the depth map quality, the proposed mode can provide up to 5.5% additional bitrate savings over coding the texture video and the depth map separately. We also show that when the depth map is accurate, the proposed codec can achieve gains even over coding the texture video only, using H.264/MVC.
  • Keywords
    image representation; image texture; optimisation; video coding; 3D video coding; 3D video representation; 3DV representation; H.264/MVC mode; compression standard; depth map quality; depth-based prediction mode; inter-view prediction efficiency; multiview display; rate-distortion optimization decision; texture video; virtual view; 3D video (3DV); H.264/MVC; depth-based prediction; multiview video; video+depth;
  • 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.2013.6738451
  • Filename
    6738451