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Proceedings Paper

H.264/AVC digital fingerprinting based on spatio-temporal just noticeable distortion
Author(s): Karima Ait Saadi; Ahmed Bouridane; Abderrezak Guessoum
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Paper Abstract

This paper presents a robust adaptive embedding scheme using a modified Spatio-Temporal noticeable distortion (JND) model that is designed for tracing the distribution of the H.264/AVC video content and protecting them from unauthorized redistribution. The Embedding process is performed during coding process in selected macroblocks type Intra 4x4 within I-Frame. The method uses spread-spectrum technique in order to obtain robustness against collusion attacks and the JND model to dynamically adjust the embedding strength and control the energy of the embedded fingerprints so as to ensure their imperceptibility. Linear and non linear collusion attacks are performed to show the robustness of the proposed technique against collusion attacks while maintaining visual quality unchanged.

Paper Details

Date Published: 10 January 2014
PDF: 6 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90690H (10 January 2014); doi: 10.1117/12.2050111
Show Author Affiliations
Karima Ait Saadi, Ctr. de Développement des Téchnologies Avancées (Algeria)
Ahmed Bouridane, Northumbria Univ. (United Kingdom)
Abderrezak Guessoum, Saad Dahleb Univ. Blida (Algeria)

Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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