H.264/AVC digital fingerprinting based on spatio-temporal just noticeable distortion

Karima Ait Saadi, Ahmed Bouridane, Abderrezak Guessoum

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Pages (from-to)90690H
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume9069
DOIs
Publication statusPublished - 10 Jan 2014

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