• DocumentCode
    1699417
  • Title

    Object-Based Error Concealment in 3D Video

  • Author

    Hong, Chien-Shiang ; Wang, Chuen-Ching ; Tai, Shen-Chuan ; Luo, Ya-Chiung

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2011
  • Firstpage
    5
  • Lastpage
    8
  • Abstract
    In real-time video transmission, the loss of packet results in visual quality degraded for the succeeding frames. This paper proposes an efficient full frame algorithm for depth-based 3-D videos. Each frame can be regarded as combination of objects. True motion estimation (TME) and depth map are exploited to calculate the motion vector (MV) for each object. In this paper, the object is defined as the pixels with the same MV and similar depth value. Each object in reference frame can be extrapolated to reconstruct the damage frame by the object-based MV. In the consideration of computational complexity, in this method, only the high frequency regions need to execute TME. From the simulation results, our algorithm gives better visual quality and PSNR in most case.
  • Keywords
    computational complexity; extrapolation; image reconstruction; motion estimation; video signal processing; computational complexity; damage frame reconstruction; depth map; depth value; depth-based 3D videos; extrapolation; full frame algorithm; object-based error concealment; object-based motion vector; real-time video transmission; reference frame; true motion estimation; visual quality; Algorithm design and analysis; Correlation; Humans; Image reconstruction; Motion estimation; Streaming media; Visualization; H.264/AVC; depth map; error concealment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4577-0817-6
  • Electronic_ISBN
    978-0-7695-4449-6
  • Type

    conf

  • DOI
    10.1109/ICGEC.2011.9
  • Filename
    6042704