• DocumentCode
    3447682
  • Title

    Error detection For H.264/AVC coded video based on artifact characteristics

  • Author

    Liu, Ying ; Liu, Yang-Ke ; Qiao, Shu-Juan ; Wei, Pan

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    293
  • Lastpage
    298
  • Abstract
    This paper proposed a novel error detection algorithm of the H.264/AVC coded video stream based on the analysis of artifact characteristics. Firstly, the visual distortions caused by transmission are classified and construed. Then, two methods are implemented according to different kinds of visual artifact. Comparing with conventional ways, proposed algorithm not only considers the error happening on the boundary of the macroblocks(MBs), but also considers the error appears inside the MBs. Simulation results demonstrate that our algorithm shows a good performance for helping concealing the erroneous MBs to gain a high video quality.
  • Keywords
    error detection; video coding; video streaming; H.264/AVC coded video streaming; error detection algorithm; macroblock; visual distortion; Variable speed drives; H.264/AVC; error concealment; error detection; structural similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658703
  • Filename
    5658703