Content Fragile Watermarking for H.264/AVC Video Authentication

Ait Saadi, Karima, Guessoum, Abderrezak, Bouridane, Ahmed and Khelifi, Fouad (2017) Content Fragile Watermarking for H.264/AVC Video Authentication. International Journal of Electronics, 104. pp. 673-691. ISSN 0020-7217

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Saadi et al - Content Fragile Watermarking (accepted).pdf - Accepted Version

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Official URL: http://dx.doi.org/10.1080/00207217.2016.1242163

Abstract

Discrete Cosine transform (DCT) to generate the authentication data that are treated as a fragile watermark. This watermark is embedded in the motion vectors (MVs) The advances in multimedia technologies and digital processing tools have brought with them new challenges for the source and content authentication. To ensure the integrity of the H.264/AVC video stream, we introduce an approach based on a content fragile video watermarking method using an independent authentication of each Group of Pictures (GOPs) within the video. This technique uses robust visual features extracted from the video pertaining to the set of selected macroblocs (MBs) which hold the best partition mode in a tree-structured motion compensation process. An additional security degree is offered by the proposed method through using a more secured keyed function HMAC-SHA-256 and randomly choosing candidates from already selected MBs. In here, the watermark detection and verification processes are blind, whereas the tampered frames detection is not since it needs the original frames within the tampered GOPs. The proposed scheme achieves an accurate authentication technique with a high fragility and fidelity whilst maintaining the original bitrate and the perceptual quality. Furthermore, its ability to detect the tampered frames in case of spatial, temporal and colour manipulations, is confirmed.

Item Type: Article
Uncontrolled Keywords: Content protection, fragile watermarking, digital signature, video Authentication, H.264/AVC codec
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 11 Oct 2016 10:39
Last Modified: 04 Oct 2017 06:54
URI: http://nrl.northumbria.ac.uk/id/eprint/27977

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