• DocumentCode
    3265547
  • Title

    Multiview-video-plus-depth coding and inter-component prediction in high-level-syntax extension of H.265/HEVC

  • Author

    Ye Yan ; Houqiang Li ; Hannuksela, M.M.

  • Author_Institution
    Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    406
  • Lastpage
    409
  • Abstract
    The multiview-video-plus-depth (MVD) format has become popular in representing 3D video content in a manner that enables free-viewpoint capability in the decoder side. The scalable (SHVC) and multiview (MV-HEVC) extensions of the High Efficiency Video Coding standard (H.265/HEVC) enable their functionality without additional coding tools and use the same high level syntax. In this paper, it is proposed to use the same coding approach as taken in SHVC and MV-HEVC for coding of MVD data. Furthermore, an inter-component motion vector prediction (ICP) method, which is realized through the temporal motion vector prediction (TMVP) mechanism of H.265/HEVC, is introduced to exploit the redundancy between texture and depth views. The experimental results show that 1.0% and 3.6% bitrate reduction can be achieved by ICP compared to independent coding of texture and depth for synthesized views and depth views, respectively, when the ICP method is applied to a 3-view coding scenario intended for multi-view autostereoscopic displays.
  • Keywords
    image texture; three-dimensional displays; video coding; 3-view coding scenario; 3D video content; H.265/HEVC; ICP; MV-HEVC; SHVC; TMVP; high efficiency video coding; high-level-syntax extension; image texture; intercomponent motion vector prediction; intercomponent prediction; multiview autostereoscopic displays; multiview-video-plus-depth coding; temporal motion vector prediction; Bit rate; Encoding; Iterative closest point algorithm; PSNR; Scalability; Vectors; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium (PCS), 2013
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4799-0292-7
  • Type

    conf

  • DOI
    10.1109/PCS.2013.6737769
  • Filename
    6737769