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Proceedings Paper

Statistical counter-attacks in MPEG-4 AVC watermarking
Author(s): A. Garboan; M. Mitrea; F. Prêteux
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Paper 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.

Paper Details

Date Published: 4 May 2010
PDF: 12 pages
Proc. SPIE 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications, 77230O (4 May 2010); doi: 10.1117/12.851035
Show Author Affiliations
A. Garboan, TELECOM & Management SudParis (France)
MAP5, CNRS, Univ. of Paris Descartes (France)
M. Mitrea, TELECOM & Management SudParis (France)
MAP5, CNRS, Univ. of Paris Descartes (France)
F. Prêteux, TELECOM & Management SudParis (France)
MAP5, CNRS, Univ. of Paris Descartes (France)


Published in SPIE Proceedings Vol. 7723:
Optics, Photonics, and Digital Technologies for Multimedia Applications
Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal; Frédéric Truchetet; Pasi Saarikko, Editor(s)

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