• DocumentCode
    3569461
  • Title

    Semi-fragile watermarking for video surveillance applications

  • Author

    Hasnaoui, Marwen ; Mitrea, Mihai

  • Author_Institution
    ARTEMIS Dept., Telecom SudParis, Evry, France
  • fYear
    2012
  • Firstpage
    1782
  • Lastpage
    1786
  • Abstract
    This paper advances SPYART, a novel semi-fragile watermarking scheme for MPEG-4 AVC protection. The authentication information, granting the method fragility, is provided by the Intra prediction mode types. This signature is embedded in the quantized error prediction of the DCT coefficients by an m-QIM technique, thus ensuring the method robustness. SPYART was evaluated under the framework of a videosurveillance application; the results exhibit fragility to content replacement (with an 1/81 frame and 3s spatial and temporal accuracy, respectively) and robustness against transcoding (MPEG-4 AVC compression by a factor of 4). As both the signature extraction and mark embedding take place at the MPEG-4 AVC syntax element level, the method also features low complexity.
  • Keywords
    authorisation; content management; data integrity; discrete cosine transforms; feature extraction; prediction theory; transcoding; video coding; video surveillance; video watermarking; DCT coefficients; MPEG-4 AVC protection; MPEG-4 AVC syntax element level; SPYART; authentication information; content replacement; embedded signature; intraprediction mode; m-QIM technique; mark embedding; quantized error prediction; semifragile watermarking; signature extraction; transcoding; video surveillance applications; videosurveillance application; Authentication; Channel coding; Feature extraction; Robustness; Transform coding; Watermarking; MPEG-4 AVC; content integrity; semi-fragile watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6334289