• DocumentCode
    2815539
  • Title

    Efficient rendering distortion estimation for depth map compression

  • Author

    Zhang, Qiuwen ; An, Ping ; Zhang, Yan ; Zhang, Zhaoyang

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    1105
  • Lastpage
    1108
  • Abstract
    A depth map represents three-dimensional (3D) scene information and is used to synthesize virtual views in 3D video. Since the quality of synthesized virtual views highly depends on the quality of depth map, efficient depth compression is crucial to realize the 3D video system. However compressing depth map using existing video coding techniques yields unacceptable distortions while rendering virtual views. To solve this problem, we propose an efficient depth map compression method for the view rendering, a novel distortion metric base on view rendering distortions instead of distortion of depth map itself. First, we derive relationships between distortions in coded depth map and rendered view. Then, a region based video characteristics distortion model is proposed for precisely estimation distortion in view synthesis. Finally, experimental results have shown that 1.8 dB coding gain in terms of PSNR and subjective quality improvement of synthesized views are achieved by the proposed method.
  • Keywords
    data compression; image representation; rendering (computer graphics); three-dimensional television; video coding; 3D scene information; 3D scene representations; 3D television; 3D video system; PSNR; depth map compression; depth map distortion; distortion metric base; free viewpoint television; rendering distortion estimation; subjective quality improvement; video coding techniques; view rendering distortions; virtual view synthesis; Cameras; Encoding; Estimation; Geometry; Image coding; Rendering (computer graphics); Three dimensional displays; 3D video; DIBR; Depth compression; distortion estimation; view rendering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6115620
  • Filename
    6115620