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
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