• DocumentCode
    247689
  • Title

    Full parallax super multi-view video coding

  • Author

    Dricot, A. ; Jung, J. ; Cagnazzo, M. ; Pesquet, B. ; Dufaux, Frederic

  • Author_Institution
    Orange Labs., Issy-les-Moulineaux, France
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    135
  • Lastpage
    139
  • Abstract
    Super Multi-View (SMV) video is a key enabler for future 3D video services that allows a glasses-free visualization and eliminates many causes of discomfort existing in current available 3D video technologies. SMV video content is composed of tens or hundreds of views, that can be aligned in horizontal only or both horizontal and vertical directions, providing respectively horizontal parallax or full parallax. This paper compares several coding schemes and coding orders, and proposes a coding structure that exploits inter-view correlations in the two directions, providing BD-rate gains up to 29.1% when compared to a basic anchor structure. Additionally, Neighboring Block Disparity Vector (NBDV) and Inter-View Motion Prediction (IVMP) coding tools are further improved to efficiently exploit coding structures in two dimensions, with BD-rate gains up to 4.2% reported over the reference 3D-HEVC encoder.
  • Keywords
    data visualisation; image motion analysis; video coding; 3D video services; 3D-HEVC encoder; BD-rate; IVMP coding tools; NBDV; SMV video content; anchor structure; coding orders; coding structure; full parallax super multiview video coding; glasses-free visualization; horizontal parallax; interview correlation; interview motion prediction; neighboring block disparity vector; Encoding; Software; Spirals; Standards; Three-dimensional displays; Vectors; Video coding; 3D Video compression; Full Motion Parallax; Multi-view;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025026
  • Filename
    7025026