Abstract:

In this paper, we present a method for a motion capture data watermarking. The embedded watermark should be imperceptible and robust. On the other hand, the key-framing method for progressive encoding the motion data gives the frames an order. This order is resilient to the motion retrieval. With this order, we can embed a watermark into a characteristic of the frames. We also present the method of detecting the watermark by analyzing the distribution of the suspected signal. Moreover, our watermarking scheme is a progressive watermarking, as more and more frames are sent, the confidence of the watermark increases. Experimental results show that for various motion data, our watermarking is imperceptible and robust to some possible attacks.

Keywords:  motion capture, watermarking, key-framing, motion retrieval.

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Biographies:

Shiyu Li   received the B.S. from Sichuan Normal University, Sichuan, China, in 2000, and the M.E, from The University of Kitakyushu, Japan, in 2005. From 2000 to 2002, she was with the school of Computer Science and Engineering, University of Electronic Science and Technology of China. She is currently a Ph.D. student of the Graduate School of Environmental Engineering, the University of Kitakyushu, Japan. Her research interests are in kinematics algorithms for computer graphics and motion coding for human animation.

Masahiro Okuda received the B.E. , M.E. , and Dr.Eng. in 1993, 1995, 1998, respectively from Keio University, Yokohama, Japan. He was with University of California, Santa Barbara and Carnegie Mellon University as a visiting scholar in 1998 and 1999, respectively. He has been on the faculty of The University of Kitakyushu as an associate professor of Environmental Engineering since 2001. His research interests include filter design, vision/geometry coding, and multirate signal processing.

BibTex:

@ARTICLE{P1150728005,

AUTHOR = {Shiyu Li and Masahiro Okuda},

TITLE = {Iterative Frame Decimation and Watermarking for Human Motion Animation},

JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing, GVIP},

YEAR = {2007},

VOLUME = {07},

ISSUE ={II},

PAGES={27--34}

}

(Full Paper 1 MB)