• DocumentCode
    1843117
  • Title

    A Robust Adaptive Video Watermarking Algorithm Based on HVS

  • Author

    Chen, Guangxi ; Cheng, Yan ; Wang, Yinghao

  • Author_Institution
    Sch. of Math. & Comput. Sci., Guilin Univ. of Electron. Technol., Guilin
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    1424
  • Lastpage
    1428
  • Abstract
    Digital watermarking can be used to protect the intellectual property for multimedia data. In this paper, a robust content-adaptive watermarking algorithm based on human visual system (HVS) is presented for video copyright protection. By comparing the direct current discrete cosine transform (DCT) coefficients of the intra frame and its neighbor frame of a given video, a fast moving image block set was chosen firstly. Then watermarking bits were adaptively embedded into the DCT domain of image blocks in the fast-moving block set, which were decided based on HVS and the characteristics of middle frequency DCT coefficients of these blocks. The experimental results indicate that the proposed algorithm is highly robust against MPEG-2 compression and frame´s geometrical distortions, such as rotation, aspect ratio and bending.
  • Keywords
    copyright; data compression; discrete cosine transforms; image motion analysis; video coding; watermarking; DCT domain; MPEG-2 compression; digital watermarking; discrete cosine transform; geometrical distortion; human visual system; intellectual property protection; moving image block set; multimedia data; robust content-adaptive video watermarking algorithm; video copyright protection; Copyright protection; Discrete cosine transforms; Frequency; Humans; Image coding; Intellectual property; Robustness; Transform coding; Visual system; Watermarking; Video watermarking; content adaptive algorithm; discrete cosine transform; geometrical distortions; human visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3398-8
  • Electronic_ISBN
    978-0-7695-3398-8
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.201
  • Filename
    4709182