• DocumentCode
    2691714
  • Title

    Flexible motion model with variable size blocks for depth frames coding in colour-depth based 3D video coding

  • Author

    Kamolrat, B. ; Fernando, W.A. ; Mrak, M. ; Kondoz, A.

  • Author_Institution
    Centre for Commun. Syst. Res., Univ. of Surrey, Guildford
  • fYear
    2008
  • fDate
    June 23 2008-April 26 2008
  • Firstpage
    573
  • Lastpage
    576
  • Abstract
    New techniques for representing 3D video are often realised using monoscopic video and associated per-pixel depth information. While the compression of both monoscopic and depth video channels can be achieved using traditional video coding techniques, in this paper, specific properties of the depth channel are exploited to further compress the depth information. More precisely, enhanced compression of the depth channel is achieved by using a highly flexible motion model, binary partition tree (BPT) which enables adaptive partitioning of the depth frames leading to better rate-distortion optimisation for inter-frame prediction. Comparing to a conventional approach, limited variable size block (LVSB) which enables only limited frame partitioning options, the presented approach brings a gain of up to 70% in bitrate reduction for the depth information.
  • Keywords
    data compression; image motion analysis; image representation; image resolution; video coding; 3D video coding; associated per-pixel depth information; binary partition tree; colour-depth; depth frames coding; flexible motion model; inter-frame prediction; limited variable size block; monoscopic video; video representation; Bit rate; Humans; Motion compensation; Motion estimation; Predictive models; Shape; Testing; Three dimensional displays; Video coding; Video compression; 3D video; motion compensation; variable size blocks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2008 IEEE International Conference on
  • Conference_Location
    Hannover
  • Print_ISBN
    978-1-4244-2570-9
  • Electronic_ISBN
    978-1-4244-2571-6
  • Type

    conf

  • DOI
    10.1109/ICME.2008.4607499
  • Filename
    4607499