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Optimized Reference Picture Selection for Light Field Image Coding

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorMonteiro, J. S. Ricardo
dc.contributor.authorNunes, J. L. Paulo
dc.contributor.authorM. M. Rodrigues, Nuno
dc.contributor.authorFaria, Sergio
dc.date.accessioned2025-05-27T15:01:01Z
dc.date.available2025-05-27T15:01:01Z
dc.date.issued2019-09
dc.description.abstractThis paper proposes a new reference picture selection method for light field image coding using the pseudovideo sequence (PVS) format. State-of-the-art solutions to encode light field images using the PVS format rely on video coding standards to exploit the inter-view redundancy between each sub-aperture image (SAI) that composes the light field. However, the PVS scanning order is not usually considered by the video codec. The proposed solution signals the PVS scanning order to the decoder, enabling implicit optimized reference picture selection for each specific scanning order. With the proposed method each reference picture is selected by minimizing the Euclidean distance to the current SAI being encoded. Experimental results show that, for the same PVS scanning order, the proposed optimized reference picture selection codec outperforms HEVC video coding standard for light field image coding, up to 50% in terms of bitrate savingspor
dc.description.sponsorshipACKNOWLEDGMENT The authors acknowledge the support of Fundação para a Ciência e Tecnologia, under the grant SFRH/BD/136953/2018 and project UID/EEA/50008/2019.
dc.identifier.citationJ. S. Ricardo Monteiro, M. M. Nuno Rodrigues, M. M. Sérgio Faria and J. L. Paulo Nunes, "optimized Reference Picture Selection for Light Field Image Coding," 2019 27th European Signal Processing Conference (EUSIPCO), A Coruna, Spain, 2019, pp. 1-5, doi: 10.23919/EUSIPCO.2019.8902555.
dc.identifier.doi10.23919/eusipco.2019.8902555
dc.identifier.isbn978-908279703-9
dc.identifier.issn22195491
dc.identifier.urihttp://hdl.handle.net/10400.8/13005
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherIEEE Canada
dc.relationScalable Light Field Representation and Coding for Immersive Systems
dc.relationInstituto de Telecomunicações
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/8902555
dc.relation.ispartof2019 27th European Signal Processing Conference (EUSIPCO)
dc.rights.uriN/A
dc.subjectLight Field Image Coding
dc.subjectPseudo-video sequence
dc.subjectOptimized reference picture selection
dc.subjectHEVC
dc.titleOptimized Reference Picture Selection for Light Field Image Codingpor
dc.typeconference proceedings
dspace.entity.typePublication
oaire.awardTitleScalable Light Field Representation and Coding for Immersive Systems
oaire.awardTitleInstituto de Telecomunicações
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F136953%2F2018/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50008%2F2019/PT
oaire.citation.conferenceDate2019-09
oaire.citation.conferencePlaceCoruna
oaire.citation.titleEuropean Signal Processing Conference (EUSIPCO)
oaire.fundingStreamOE
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameM. M. Rodrigues
person.familyNameFaria
person.givenNameNuno
person.givenNameSergio
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
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationb4ebe652-7f0e-4e67-adb0-d5ea29fc9e69
relation.isAuthorOfPublicationf69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication.latestForDiscoveryb4ebe652-7f0e-4e67-adb0-d5ea29fc9e69
relation.isProjectOfPublication2dd2e18b-2b7c-41d5-84d6-42e2a5ba7da0
relation.isProjectOfPublication8dd76ecc-a109-45e6-9fda-f72c712a17b9
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