Attention-weighted texture and depth bit-allocation in general-geometry free-viewpoint television

Dórea, Camilo Chang; Queiroz, Ricardo Lopes de

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dc.contributor.author	Dórea, Camilo Chang	-
dc.contributor.author	Queiroz, Ricardo Lopes de	-
dc.date.accessioned	2020-03-24T19:51:40Z	-
dc.date.available	2020-03-24T19:51:40Z	-
dc.date.issued	2017	-
dc.identifier.citation	DOREA, Camilo; QUEIROZ, Ricardo L. de. Attention-weighted texture and depth bit-allocation in general-geometry free-viewpoint television. IEEE Transactions on Circuits and Systems for Video Technology, v. 27, n. 5, p. 1055-1065, maio 2017. DOI 10.1109/TCSVT.2015.2513518. Disponível em: https://ieeexplore.ieee.org/document/7368894. Acesso em: 24 mar. 2020.	pt_BR
dc.identifier.uri	https://repositorio.unb.br/handle/10482/37136	-
dc.language.iso	Inglês	pt_BR
dc.rights	Acesso Restrito	pt_BR
dc.title	Attention-weighted texture and depth bit-allocation in general-geometry free-viewpoint television	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	Televisão	pt_BR
dc.subject.keyword	Gravações de vídeo	pt_BR
dc.subject.keyword	Processamento de imagens - técnicas digitais	pt_BR
dc.subject.keyword	Codificação de vídeo	pt_BR
dc.rights.license	© 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.	pt_BR
dc.identifier.doi	10.1109/TCSVT.2015.2513518	pt_BR
dc.relation.publisherversion	https://ieeexplore.ieee.org/document/7368894	pt_BR
dc.description.abstract1	In a free-viewpoint television network, each viewer chooses its point of view from which to watch a scene. We use the concept of total observed distortion, wherein we aim to minimize the distortion of the view observed by the viewers as opposed to the distortion of each camera, to develop an optimized bitrate allocation for each camera. Our attention-weighted approach effectively gives more bits to the cameras that are more watched. The more concentrated the viewer distribution, the larger the bitrate savings, for a given total observed distortion, compared with the uniform rate allocation. We analyze and model the distortion of a synthesized view as a function of the distortions (both in texture and/or depth) of the nearby cameras. Based on such models, we develop optimal rate-allocation methods for texture images, considering a uniform bit allocation for depth, and for both texture and depth simultaneously. Simulation results are shown, demonstrating not only the correctness of the optimized solution, but also measuring its improvement against uniform rate allocation for a few viewer distributions.	pt_BR
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