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A Blind Watermarking for 3-D Dynamic Mesh Model Using Distribution of Temporal Wavelet Coefficients

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Multimedia Content Representation, Classification and Security (MRCS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4105))

Abstract

In this paper, we present a watermarking method for 3-D mesh sequences with a fixed connectivity. The main idea is to transform each coordinate of vertex with the identical connectivity index along temporal axis using wavelet transform and modify the distribution of wavelet coefficients in temporally high (or middle)-frequency frames according to watermark bit to be embedded. Due to the use of the distribution, our method can retrieve the hidden watermark without any information about original mesh sequences in the process of watermark detection. To increase the watermark capacity, all vertices are divided into groups, namely bins, using the distribution of scaling coefficients in low-frequency frames. As the vertices with the identical connectivity index over whole frames belong to one bin, their wavelet coefficients are also assigned into the same bin. Then, the watermark is embedded into each axis of the wavelet coefficients. Through simulations we show that the proposed is fairly robust against various attacks that are probably concerned in copyright protection of 3-D mesh sequences.

This work was supported by the Ministry of Information & Communications, Korea, under the Information Technology Research Center (ITRC) Program (204-B-000-215).

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© 2006 Springer-Verlag Berlin Heidelberg

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Kim, MS., Prost, R., Chung, HY., Jung, HY. (2006). A Blind Watermarking for 3-D Dynamic Mesh Model Using Distribution of Temporal Wavelet Coefficients. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11848035_35

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  • DOI: https://doi.org/10.1007/11848035_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39392-4

  • Online ISBN: 978-3-540-39393-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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