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Predictive depth map coding for efficient virtual view synthesis

2013-09Comunicação em conferência Acesso restrito
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorLucas, Luis F R.
dc.contributor.authorRodrigues, Nuno M. M.
dc.contributor.authorPagliari, Carla L.
dc.contributor.authorSilva, Eduardo A. B. da
dc.contributor.authorFaria, Sérgio M. M. de
dc.date.accessioned2026-03-19T11:38:54Z
dc.date.available2026-03-19T11:38:54Z
dc.date.issued2013-09
dc.descriptionArticle number 6738424
dc.description.abstractThis paper presents a novel approach to compress depth maps envisioned for virtual view synthesis. This proposal uses a sophisticated prediction model, combining the HEVC intra prediction modes with a flexible partitioning scheme. It exhaustively evaluates the prediction modes for a large amount of block sizes, in order to find the minimum coding cost for each depth map block. Unlike HEVC, no transform is used, the residue being trivially encoded through the transmission of just its mean value. The experimental results show that, when the encoding evaluation metric is the quality of the view synthesized using the encoded depth map against the map encoding rate, the proposed algorithm generates reconstructed depth maps that provide, for most bitrates, some of the best performances among state-of-the-art depth maps encoders. In addition, it runs approximately as fast as the HEVC HM.eng
dc.description.sponsorshipThis work was funded by FCT - “Fundação para a Ciência e Tecnologia”, Portugal, under the grants SFRH/BD/79553/2011 and PTDC/EIAEIA/122774/2010. The third author acknowledges the financial support of CAPES and CNPq.
dc.identifier.citationL. F. R. Lucas, N. M. M. Rodrigues, C. L. Pagliari, E. A. B. da Silva and S. M. M. de Farla, "Predictive depth map coding for efficient virtual view synthesis," 2013 IEEE International Conference on Image Processing, Melbourne, VIC, Australia, 2013, pp. 2058-2062, doi: 10.1109/ICIP.2013.6738424
dc.identifier.doi10.1109/icip.2013.6738424
dc.identifier.isbn978-147992341-0
dc.identifier.urihttp://hdl.handle.net/10400.8/15918
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relationIMPLICIT INTRA AND INTER PREDICTION FOR VIDEO CODING
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/6738424
dc.relation.ispartof2013 IEEE International Conference on Image Processing
dc.rights.uriN/A
dc.subjectDepth map coding
dc.subjectPredictive coding
dc.subjectFlexible block segmentation
dc.subjectDepth image based rendering
dc.titlePredictive depth map coding for efficient virtual view synthesiseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberSFRH/BD/79553/2011
oaire.awardTitleIMPLICIT INTRA AND INTER PREDICTION FOR VIDEO CODING
oaire.awardURIhttp://hdl.handle.net/10400.8/13247
oaire.citation.conferenceDate2013
oaire.citation.conferencePlaceMelbourne, VIC, Australia
oaire.citation.endPage2062
oaire.citation.startPage2058
oaire.citation.title2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
oaire.fundingStreamFARH
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameM. M. Rodrigues
person.familyNameFaria
person.givenNameNuno
person.givenNameSergio
person.identifier.ciencia-id6917-B121-4E34
person.identifier.ciencia-id8815-4101-28DD
person.identifier.orcid0000-0001-9536-1017
person.identifier.orcid0000-0002-0993-9124
person.identifier.ridC-5245-2011
person.identifier.scopus-author-id7006052345
person.identifier.scopus-author-id14027853900
relation.isAuthorOfPublicationb4ebe652-7f0e-4e67-adb0-d5ea29fc9e69
relation.isAuthorOfPublicationf69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication.latestForDiscoveryb4ebe652-7f0e-4e67-adb0-d5ea29fc9e69
relation.isProjectOfPublication765a11b3-9224-4846-98cb-fc8b64366b8d
relation.isProjectOfPublication.latestForDiscovery765a11b3-9224-4846-98cb-fc8b64366b8d

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