• DocumentCode
    531825
  • Title

    Blind estimation of the QP parameter in H.264/AVC decoded video

  • Author

    Tagliasacchi, M. ; Tubaro, S.

  • Author_Institution
    Dipt. di Elettron. e Inf., Politec. di Milano, Milano, Italy
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    No-reference video quality monitoring algorithms rely on data collected at the receiver side. Typically, these methods assume the availability of the bitstream, so that motion vectors, coding modes and prediction residuals can be readily extracted. In this paper we show that, even without the availability of the bitstream, the decoded video sequence can be reverse engineered in order to reveal part of its coding history. Specifically, we illustrate a method for blindly estimating the quantization parameter (QP) in H.264/AVC decoded video on a frame-by-frame basis. We demonstrate by means of extensive simulations the robustness of the proposed algorithm. We discuss its usefulness in the field of video quality assessment (e.g. to perform blind PSNR estimation) and we provide an outlook on video forensics tools enabled by the proposed method (e.g. to detect temporal cropping/merging).
  • Keywords
    quantisation (signal); video coding; H.264/AVC decoded video; QP parameter; blind PSNR estimation; blind estimation; coding mode; motion vector; quantization parameter; video forensics tool; video quality assessment; video quality monitoring algorithm; Automatic voltage control; Europe; Merging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on
  • Conference_Location
    Desenzano del Garda
  • Print_ISBN
    978-1-4244-7848-4
  • Electronic_ISBN
    978-88-905328-0-1
  • Type

    conf

  • Filename
    5617677