• DocumentCode
    1799117
  • Title

    Inter-view motion vector prediction for depth coding

  • Author

    Thirumalai, Vijayaraghavan ; Li Zhang ; Ying Chen

  • Author_Institution
    Qualcomm Technol. Inc., San Diego, CA, USA
  • fYear
    2014
  • fDate
    14-18 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents an inter-view motion prediction technique for efficient compression of motion vectors of the depth views in 3D-HEVC. 3D-HEVC is an extension of HEVC standard for coding the multi-view video plus depth content, known as MVD. In MVD format, the motion characteristics of the adjacent views in the depth video are highly correlated. In this paper, we take benefit of this correlation and propose inter-view motion prediction technique, where motion information of the dependent depth views is predicted from the already coded motion information in a reference depth view. In addition, a novel method for deriving disparity vectors based on neighboring pixels is proposed in order to establish correspondences between the blocks in different depth views. Experimental results show that proposed inter-view motion prediction method provides an average bit-rate savings of 1.5% for the synthesized views when the motion information of the depth views is predicted without using the texture information.
  • Keywords
    image texture; motion estimation; video coding; MVD format; adjacent views; bit-rate savings; depth coding; disparity vectors; interview motion prediction method; interview motion prediction technique; motion characteristics; motion information; motion vector extension; multiview video plus depth content; neighboring pixels; texture information; video coding; Correlation; Encoding; Indexes; Merging; Standards; Three-dimensional displays; Vectors; 3D-HEVC; depth coding; inter-view motion prediction; merge candidates;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2014 IEEE International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/ICME.2014.6890305
  • Filename
    6890305