• DocumentCode
    3278436
  • Title

    Efficient view synthesis for multi-view video plus depth

  • Author

    Vijayanagar, Krishna Rao ; Joohee Kim ; Yunsik Lee ; Jong-bok Kim

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    2197
  • Lastpage
    2201
  • Abstract
    Depth-image based rendering is a popular technique for rendering virtual views for the multi-view video plus depth (MVD) 3DTV format. Instead of transmitting a high number of views to the receiver, only a few views are transmitted along with their corresponding depth maps and the missing views are interpolated from these transmitted views. This process is called view synthesis and has been the focus of a lot of research in recent times. In addition to the obvious quality constraints of view synthesis, focus needs to be laid on the efficiency and speed of the view synthesis process. In this paper, we propose a simple, highly efficient view synthesis process that utilizes a separable look-up table based technique to speed up the 3D warping process. We also develop a reliability-based weighting scheme for blending the candidate views into the final synthesized view. Simulation results show that the proposed method is approximately 6 times faster than VSRS 3.5 and has comparable objective quality. The proposed method is inherently parallel thus making it suitable to act as a framework for implementing high-speed view synthesis on a GP-GPU.
  • Keywords
    graphics processing units; rendering (computer graphics); table lookup; three-dimensional television; video coding; 3D warping process; GP-GPU; MVD 3DTV format; VSRS 3.5; candidate views; depth maps; depth-image based rendering; multiview video plus depth; reliability-based weighting scheme; separable look-up table based technique; view synthesis; virtual view rendering; 3DTV; depth-image based rendering; multi-view video coding; view synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738453
  • Filename
    6738453