• DocumentCode
    492227
  • Title

    Digital Watermarking of MOCAP Data Based on Singular Value Decomposition

  • Author

    Pu, Yu-Chi ; Lin, Jui-Sheng ; Hung, Meei-Ling ; Chen, Bo-Hua ; Jou, I-Chang

  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    932
  • Lastpage
    935
  • Abstract
    According to the computer is more and more powerful; the computer animation is widely applied in the game, entertainment, and scientific fields. When making a computer graphics (CG) animation, firstly we build three-dimensional models, and then attach the motion sequences on these models. Either key-frame setup or motions capture systems can help to get the motion data, and both of they need considerable work. Thus, the motion data cost expensive, and need the copyright protection. In this paper, we´ll develop the digital watermarking technology for the motion capture (MOCAP) data. When watermarking some characteristics of the MOCAP data such as the physical feature of an articulated link model should be maintained. The requirement of imperceptibility in watermarking motion data is higher than in other watermarking applications such as images or video. For considering both the time varying and joints relations in motion, we adopted the singular value decomposition to resolve the multiple variables problem. In simulation results, some signal processing of motion data has been used to verify the robustness.
  • Keywords
    computer animation; sequences; singular value decomposition; solid modelling; watermarking; computer graphics animation; copyright protection; digital watermarking; key-frame system; motion capture data; motion sequence; motions capture system; singular value decomposition; three-dimensional model; Animation; Character generation; Computer graphics; Copyright protection; Costs; Power system modeling; Signal resolution; Singular value decomposition; Video signal processing; Watermarking; MOCAP Data; singular value decomposition; watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3530-2
  • Electronic_ISBN
    978-1-4244-3531-9
  • Type

    conf

  • DOI
    10.1109/KAMW.2008.4810645
  • Filename
    4810645