• DocumentCode
    2837598
  • Title

    A Synthesis-Quality-Oriented Depth Refinement Scheme for MPEG Free Viewpoint Television (FTV)

  • Author

    Chen, Chun-Chi ; Chen, Yi-Wen ; Yang, Fu-Yao ; Peng, Wen-Hsiao

  • Author_Institution
    Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2009
  • fDate
    14-16 Dec. 2009
  • Firstpage
    171
  • Lastpage
    178
  • Abstract
    This paper addresses the problem of refining depth information from the received reference and depth images within the MPEG FTV framework. An analytical model is first developed to approximate the per-pixel synthesis distortion (caused by depth-image compression) as a function of depth-error variances, intensity variations, ground-truth depth and virtual camera locations. We then follow the model to detect unreliable depth pixels by inspecting intensity gradients and to refine their values with a candidate-based block disparity search. Additional side information is transmitted to make both operations robust against compression effects. Experimental results show that our scheme offers an average PSNR improvement of 1.2 dB over MPEG FTV and consistently outperforms the state-of-the-art methods. Moreover, it can remove synthesis artifacts to a great extent, producing a result that is very close in appearance to the ground-truth view image.
  • Keywords
    data compression; image coding; video coding; FTV; MPEG free viewpoint television; analytical model; candidate-based block disparity; compression effects; depth information; depth-error variances; depth-image compression; ground-truth depth; intensity variations; per-pixel synthesis distortion; synthesis-quality-oriented depth refinement scheme; virtual camera; Analytical models; Cameras; Computer science; Image coding; Layout; Navigation; Pixel; TV; Transform coding; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, 2009. ISM '09. 11th IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-5231-6
  • Electronic_ISBN
    978-0-7695-3890-7
  • Type

    conf

  • DOI
    10.1109/ISM.2009.68
  • Filename
    5364544