• DocumentCode
    2279438
  • Title

    A framework of 3D video coding using view synthesis prediction

  • Author

    Lee, Cheon ; Ho, Yo-Sung

  • Author_Institution
    Gwangju Inst. of Sci. & Technol. (GIST), Gwangju, South Korea
  • fYear
    2012
  • fDate
    7-9 May 2012
  • Firstpage
    9
  • Lastpage
    12
  • Abstract
    The advanced 3D video system employs the multi-view video plus depth (MVD) format to support free-viewpoint navigation and comfortable 3D video. Therefore, the prediction structure of the multi-view video coding (MVC) can be used for 3D video coding. The view synthesis prediction method is designed to exploit inter-view correlation using the virtual view generation; hence it is suitable for 3D video coding. In this paper, we propose an efficient framework for 3D video coding using view synthesis prediction to compress multi-view color and depth data simultaneously. We designed the coding procedure of MVD data with four types of view synthesis methods according to the view position. The experimental results showed that the proposed framework improved the coding performance at most 0.9 dB for the multi-view color videos.
  • Keywords
    correlation methods; data compression; image colour analysis; video coding; 3D video coding; 3D video system; MVC; MVD format; coding performance; comfortable 3D video; depth data; free-viewpoint navigation; interview correlation; multiview color compression; multiview color video; multiview video coding; multiview video plus depth; prediction structure; view position; view synthesis prediction; virtual view generation; Encoding; Image color analysis; Image reconstruction; Prediction methods; Three dimensional displays; Transform coding; Video coding; 3D video coding; framework for 3D video coding; multi-view video coding; view syntehsis prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium (PCS), 2012
  • Conference_Location
    Krakow
  • Print_ISBN
    978-1-4577-2047-5
  • Electronic_ISBN
    978-1-4577-2048-2
  • Type

    conf

  • DOI
    10.1109/PCS.2012.6213273
  • Filename
    6213273