• DocumentCode
    3111571
  • Title

    Embedding watermarks in compressed video using fuzzy C-means clustering

  • Author

    Lin, Daw-Tung ; Liao, Guan-Jhih

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ., Taipei
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1053
  • Lastpage
    1058
  • Abstract
    Although digitalization and the Internet are very convenient and useful for personal users and industry, they suffer from shortcomings of security. For instance, private content is difficult to protect and fake versions of multimedia data can be produced. Digital watermarking offers some effective solutions. This work presents a video watermarking scheme that uses motion vectors to define the place where the watermarks are embedded, and the number of watermark bits vary dynamically among frames. Fuzzy C-means (FCM) clustering method is utilized to select the motion vectors and the positions of the watermarks. The advantages of this work are twofold. A novel watermarking strategy is presented that does not require manual selection of watermark bits location. The number of embedded motion vector clusters differs depending on the motion characteristics in each frame. This significant property possesses higher security. As can be concluded from the experimental results, the watermarked video retains satisfactory quality with very small degradation.
  • Keywords
    data compression; fuzzy set theory; pattern clustering; video coding; watermarking; compressed video; digital watermarking; embedded motion vector clusters; fuzzy C-means clustering; multimedia data; private content; video watermarking scheme; watermarking strategy; Computer science; Data security; Degradation; Image coding; Information security; Internet; Protection; Streaming media; Video compression; Watermarking; compressed video; fuzzy C-means clustering; motion vector; video watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811421
  • Filename
    4811421