A Robust Blind 3-D Mesh Watermarking Technique Based on SCS Quantization and Mesh Saliency for Copyright Protection

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TitreA Robust Blind 3-D Mesh Watermarking Technique Based on SCS Quantization and Mesh Saliency for Copyright Protection
Type de publicationConference Paper
Year of Publication2019
AuteursHamidi M, Chetouani A, Haziti MEl, Hassouni MEl, Cherifi H
EditorRenault E, Boumerdassi S, Leghris C, Bouzefrane S
Conference NameMOBILE, SECURE, AND PROGRAMMABLE NETWORKING
PublisherUniv Paris Saclay, Inst Mines Telecom, Wireless Networks & Multimedia Serv, Dept Telecom SudParis; Conservatoire Natl Arts Metiers
Conference LocationGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
ISBN Number978-3-030-22885-9; 978-3-030-22884-2
Mots-clés3-D mesh watermarking, copyright protection, mesh saliency, Scalar Costa scheme (scs)
Résumé

Due to the recent demand of 3-D meshes in a wide range of applications such as video games, medical imaging, film special effect making, computer-aided design (CAD), among others, the necessity of implementing 3-D mesh watermarking schemes aiming to protect copyright has increased in the last decade. Nowadays, the majority of robust 3-D watermarking approaches have mainly focused on the robustness against attacks while the imperceptibility of these techniques is still a serious challenge. In this context, a blind robust 3-D mesh watermarking method based on mesh saliency and scalar Costa scheme (SCS) for Copyright protection is proposed. The watermark is embedded by quantifying the vertex norms of the 3-D mesh by SCS scheme using the vertex normal norms as synchronizing primitives. The choice of these vertices is based on 3-D mesh saliency to achieve watermark robustness while ensuring high imperceptibility. The experimental results show that in comparison with the alternative methods, the proposed work can achieve a high imperceptibility performance while ensuring a good robustness against several common attacks including similarity transformations, noise addition, quantization, smoothing, elements reordering, etc.

DOI10.1007/978-3-030-22885-9_19