Paper
4 May 2010 Statistical counter-attacks in MPEG-4 AVC watermarking
A. Garboan, M. Mitrea, F. Prêteux
Author Affiliations +
Abstract
This paper presents a method able to optimize watermarking detection in the MPEG-4 AVC compressed domain. The optimization was achieved by introducing a statistical counter -attack based on the MAP criterion applied on the noise matrices corresponding to each attack. As no statistical models are nowadays available for the attack effects in the MPEG-4 AVC domain, they had to be first estimated. In this respect, 95% confidence limits for noise matrices, computed with relative errors lower than 15% have been obtained for geometric attacks (StirMark, small rotations), and linear or non-linear filtering (Gaussian filtering, sharpening). The viability of these statistical results was demonstrated by the watermarking experiments: it was obtained that the counter-attacks based on the attack model approaches its theoretical upper limit.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Garboan, M. Mitrea, and F. Prêteux "Statistical counter-attacks in MPEG-4 AVC watermarking", Proc. SPIE 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications, 77230O (4 May 2010); https://doi.org/10.1117/12.851035
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KEYWORDS
Digital watermarking

Video

Gaussian filters

Matrices

Error analysis

Nonlinear filtering

Statistical analysis

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