Blind robust watermarking mechanism based on maxima curvature of 3d motion data

Authors:
Ling Du;Xiaochun Cao;Muhua Zhang;Huazhu Fu
Affiliations:
School of Computer Science and Technology, Tianjin University, Tianjin, China, School of Computer, Shenyang Aerospace University, Shenyang, China;School of Computer Science and Technology, Tianjin University, Tianjin, China;School of Computer Science and Technology, Tianjin University, Tianjin, China;School of Computer Science and Technology, Tianjin University, Tianjin, China
Venue:
IH'12 Proceedings of the 14th international conference on Information Hiding
Year:
2012

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Abstract

This paper presents a blind robust watermarking mechanism for copyright protection of 3D motion data. The mechanism segments motion data based on stable anchor-points captured by the maxima in spatio-temporal curvature and filtered by posterior attack model. For each segment, we make a randomized cluster division of 3D points based on a secret key. A watermark is then embedded within these clusters by Triangle Orthocenter based encoding approach. Experimental results show that the proposed watermarking scheme is robust against many possible attacks such as uniform affine transforms (scaling, rotation and translation), noise addition, reordering and cropping.