• DocumentCode
    2824218
  • Title

    Pixel domain referenceless visual degradation detection and error concealment for mobile video

  • Author

    Trudeau, Luc ; Coulombe, Stéphane ; Pigeon, Steven

  • Author_Institution
    Dept. of Software & IT Eng., Univ. du Quebec, Montréal, QC, Canada
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    2229
  • Lastpage
    2232
  • Abstract
    In mobile video applications, where unreliable networks are commonplace, corrupted video packets can have a profound impact on the quality of the user experience. In this paper, we show that, in a wide range of operating conditions, selectively reusing data resulting from decodable errorneous packets leads to better results than frame copy. This selection is guided by a novel concept that combines motion estimation and a measure of blocking artifacts at block edges to predict visual degradation caused by the decoding of erroneous packets. Simulation results show that, by using the proposed solution, the H.264/AVC JM reference software decoder can select the best option between frame copy and the erroneous frame decoding in 82% of test cases. We also obtain an average gain of 1.95 dB for concealed frames (when they differ from those concealed by the JM decoder).
  • Keywords
    decoding; video codecs; video coding; H.264/AVC JM reference software decoder; corrupted video packets; decodable errorneous packets; erroneous frame decoding; error concealment; mobile video; pixel domain referenceless visual degradation detection; Decoding; Degradation; Mobile communication; PSNR; Software; Streaming media; Visualization; Error concealment; H.264; error detection; mobile video; pixel domain;
  • 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.2011.6116080
  • Filename
    6116080