{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:26:49Z","timestamp":1781108809357,"version":"3.54.1"},"reference-count":25,"publisher":"IGI Global Scientific Publishing","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,4,1]]},"abstract":"<p>This paper proposes two main contributions. In the first one, a 3D mesh watermarking using Maximally Stable Meshes detection and multi-signatures embedding is presented. The originality of this scheme is to detect the attack type applied on marked mesh. In plus, it is robust against numerous attacks, blind and invisible. The proposed scheme uses the Maximally Stable meshes (MSMs) to insert signature. After MSMs detection using an extension of Maximally Stable Efficient Regions, three MSMs are selected to be marked. Then, three different signatures are embedded using three different watermarking schemes. This embedding allows knowing the type of the applied attack by detecting which of the signatures resisted. In more, it maximizes robustness by profiting from advantages of every scheme. The second contribution is a new evaluation protocol for 3D watermarking which allows generating a performance score for 3D mesh watermarking schemes. This protocol is based on six criteria having different weights in performance score computing. Finally, this protocol is used to evaluate the proposed watermarking scheme and to compare it with other algorithms. The obtained results verified the good performances of the proposed algorithm which presents the highest score.<\/p>","DOI":"10.4018\/ijcvip.2011040102","type":"journal-article","created":{"date-parts":[[2011,10,19]],"date-time":"2011-10-19T12:09:04Z","timestamp":1319026144000},"page":"13-29","source":"Crossref","is-referenced-by-count":0,"title":["A Robust Embedding Scheme and an Efficient Evaluation Protocol for 3D Meshes Watermarking"],"prefix":"10.4018","volume":"1","author":[{"given":"Saoussen","family":"Ben Jabra","sequence":"first","affiliation":[{"name":"RIADI Laboratory, Team of Research SIIVA, High Institute of Computer Science, University of Tunis El Manar, Tunisia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ezzeddine","family":"Zagrouba","sequence":"additional","affiliation":[{"name":"RIADI Laboratory, Team of Research SIIVA, High Institute of Computer Science, University of Tunis El Manar, Tunisia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijcvip.2011040102-0","doi-asserted-by":"crossref","unstructured":"Alliez, P., & Schmitt, F. 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