• DocumentCode
    3092639
  • Title

    A Blind Video Watermarking Algorithm Resisting to Rotation Attack

  • Author

    Guo-juan, Xu ; Rang-ding, Wang

  • Author_Institution
    CKC Software Lab., NingBo Univ., Ningbo, China
  • fYear
    2009
  • fDate
    5-6 Dec. 2009
  • Firstpage
    111
  • Lastpage
    114
  • Abstract
    Rotation attack can destroy the synchronization of the watermark detector and the watermarking, even a slight rotating may invalidate the detection of watermarks. Resisting to the rotation attack, a blind video watermarking algorithm is proposed on the basis of combinding the Zernike moments and singular value decomposition (SVD). First choose the embedding areas on the luminance component. Then make the partitioning while doing the discrete wavelets transform (DWT) and make the singular value decomposition to the low-frequency parts. And last embed watermarks through modifying the maximum singular value. In detection, the possible rotation attacks to the video sequence would be corrected through Zernike moments. The experimental results show that the proposed algorithm is robust against conventional attacks and arbitrary angle of rotation attacks.
  • Keywords
    Zernike polynomials; blind source separation; brightness; discrete wavelet transforms; singular value decomposition; watermarking; Zernike moments; blind video watermarking algorithm; discrete wavelets transform; luminance component; rotation attack resistance; singular value decomposition; watermark detector; Data mining; Detectors; Discrete cosine transforms; Discrete wavelet transforms; Image processing; Robustness; Signal processing algorithms; Singular value decomposition; Video sequences; Watermarking; Zernike moments; rotation attack; singular value decomposition(SVD); video watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communications Security, 2009. ICCCS '09. International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-0-7695-3906-5
  • Electronic_ISBN
    978-1-4244-5408-2
  • Type

    conf

  • DOI
    10.1109/ICCCS.2009.34
  • Filename
    5380290