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Auteur M. Oguz Bici
Documents disponibles écrits par cet auteur
Affiner la rechercheMultiple description coding of animated meshes / M. Oguz Bici in Signal processing. Image communication, Vol. 25 N° 10 (Novembre 2010)
[article]
in Signal processing. Image communication > Vol. 25 N° 10 (Novembre 2010) . - pp. 729–744
Titre : Multiple description coding of animated meshes Type de document : texte imprimé Auteurs : M. Oguz Bici, Auteur ; Gozde B. Akar, Auteur Année de publication : 2012 Article en page(s) : pp. 729–744 Note générale : Electronique Langues : Anglais (eng) Mots-clés : Multiple description coding Animated meshes 3D dynamic meshes Time consistent mesh sequence Subsampling Scalable coding Résumé : In this paper, we propose three novel multiple description coding (MDC) methods for reliable transmission of compressed animated meshes represented by series of 3D static meshes with same connectivity. The proposed methods trade off reconstruction quality for error resilience to provide the best expected reconstruction of 3D mesh sequence at the decoder side. The methods are based on layer duplication and partitioning of the set of vertices of a scalable coded animated mesh by either spatial or temporal subsampling. Each partitioned set is encoded separately to generate independently decodable bitstreams or so-called descriptions. In addition, the proposed MDC methods can achieve varying redundancy allocations by including a number of encoded spatial or temporal layers from the other description. The algorithms are evaluated with redundancy-rate-distortion (RRD) curves and per-frame reconstruction analysis. RRD performances show that vertex partitioning-based MDC performs better at low redundancies for especially spatially dense models. Temporal subsampling-based MDC performs better at moderate redundancies as well as low redundancies for spatially coarse models. Layer duplication-based MDC can achieve the lowest redundancies with flexible redundancy allocation capability and can be designed to achieve the smallest variance of reconstruction quality between consecutive frames. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596510001116 [article] Multiple description coding of animated meshes [texte imprimé] / M. Oguz Bici, Auteur ; Gozde B. Akar, Auteur . - 2012 . - pp. 729–744.
Electronique
Langues : Anglais (eng)
in Signal processing. Image communication > Vol. 25 N° 10 (Novembre 2010) . - pp. 729–744
Mots-clés : Multiple description coding Animated meshes 3D dynamic meshes Time consistent mesh sequence Subsampling Scalable coding Résumé : In this paper, we propose three novel multiple description coding (MDC) methods for reliable transmission of compressed animated meshes represented by series of 3D static meshes with same connectivity. The proposed methods trade off reconstruction quality for error resilience to provide the best expected reconstruction of 3D mesh sequence at the decoder side. The methods are based on layer duplication and partitioning of the set of vertices of a scalable coded animated mesh by either spatial or temporal subsampling. Each partitioned set is encoded separately to generate independently decodable bitstreams or so-called descriptions. In addition, the proposed MDC methods can achieve varying redundancy allocations by including a number of encoded spatial or temporal layers from the other description. The algorithms are evaluated with redundancy-rate-distortion (RRD) curves and per-frame reconstruction analysis. RRD performances show that vertex partitioning-based MDC performs better at low redundancies for especially spatially dense models. Temporal subsampling-based MDC performs better at moderate redundancies as well as low redundancies for spatially coarse models. Layer duplication-based MDC can achieve the lowest redundancies with flexible redundancy allocation capability and can be designed to achieve the smallest variance of reconstruction quality between consecutive frames. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596510001116