• DocumentCode
    3361480
  • Title

    Sparse dyadic mode for depth map compression

  • Author

    Liu, Shujie ; Lai, PoLin ; Tian, Dong ; Gomila, Cristina ; Chen, Chang Wen

  • Author_Institution
    Dept. of Comput. Sci. & Eng., State Univ. of New York at Buffalo, Buffalo, NY, USA
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    3421
  • Lastpage
    3424
  • Abstract
    In order to enable new video applications such as 3DTV and free-viewpoint video, new data formats including both 2D video sequences and corresponding depth map sequences have been proposed. One major characteristic making the depth maps different from video frames is that they typically consist of homogeneous areas separated by sharp edges representing depth discontinuities. Another characteristic of depth map sequences is that the edges exhibit quite similar boundary behaviors as the edges in the corresponding video frames. In this paper, we propose a novel sparse dyadic mode in the design of an efficient depth map compression algorithm through appropriately exploiting these characteristics. With sparse representations of depth blocks and effective reference of edge information from the corresponding video frames, sparse dyadic mode can achieve up to 1.5 dB gain on rendering quality as compared to depth sequences coded using MVC at the same bitrate.
  • Keywords
    data compression; image sequences; rendering (computer graphics); three-dimensional television; video coding; 2D video sequences; 3DTV; depth blocks; depth map compression algorithm; depth map sequence code; homogeneous areas; rendering quality; sharp edge representation depth; sparse dyadic mode; sparse representation; video frames; Bit rate; Decoding; Encoding; Image coding; Lead; Rendering (computer graphics); Three dimensional displays; 3D Video; Depth Compression; Sparse Dyadic Mode; Sparse Representations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5653207
  • Filename
    5653207