Digital Watermarking of MOCAP Data Based on Singular Value Decomposition

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

doi:10.1109/kamw.2008.4810645

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2011

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“…The authors in [8], describe a spatial domain technique to watermark 3D motion capture data. Pu et al [9], adopt singular value decomposition to consider both the time varying relations among the motion frames and the spatial correlations among the different joints in motion. The motion data matrix is decomposed into two eigen vector matrices and a singular values matrix.…”

Section: Related Workmentioning

confidence: 99%

Watermarking space curves

Motwani

Bekris

et al. 2011

2011 IEEE Consumer Communications and Networking Conference (CCNC)

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This paper describes an imperceptible, non-blind, fragile watermarking technique for space curves. The proposed technique employs a wavelet-based approach, and computes a multi-resolution representation of the space curve to embed a watermark so that it has widespread presence in the curve. A variety of wavelet families are exploited and experimental results provide a comparison of the performance of different wavelets in terms of the watermark's imperceptibility and tolerance to attacks. To quantify space curve distortion, a signal-to-noise ratio is used, and a linear correlation measure is employed to determine the resistance of the watermark to modifications.

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Section: Related Workmentioning

confidence: 99%