Publication
Optimized Reference Picture Selection for Light Field Image Coding
datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
dc.contributor.author | Monteiro, J. S. Ricardo | |
dc.contributor.author | Nunes, J. L. Paulo | |
dc.contributor.author | M. M. Rodrigues, Nuno | |
dc.contributor.author | Faria, Sergio | |
dc.date.accessioned | 2025-05-27T15:01:01Z | |
dc.date.available | 2025-05-27T15:01:01Z | |
dc.date.issued | 2019-09 | |
dc.description.abstract | This 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 savings | por |
dc.description.sponsorship | ACKNOWLEDGMENT 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.citation | J. 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.doi | 10.23919/eusipco.2019.8902555 | |
dc.identifier.isbn | 978-908279703-9 | |
dc.identifier.issn | 22195491 | |
dc.identifier.uri | http://hdl.handle.net/10400.8/13005 | |
dc.language.iso | eng | |
dc.peerreviewed | n/a | |
dc.publisher | IEEE Canada | |
dc.relation | Scalable Light Field Representation and Coding for Immersive Systems | |
dc.relation | Instituto de Telecomunicações | |
dc.relation.hasversion | https://ieeexplore.ieee.org/document/8902555 | |
dc.relation.ispartof | 2019 27th European Signal Processing Conference (EUSIPCO) | |
dc.rights.uri | N/A | |
dc.subject | Light Field Image Coding | |
dc.subject | Pseudo-video sequence | |
dc.subject | Optimized reference picture selection | |
dc.subject | HEVC | |
dc.title | Optimized Reference Picture Selection for Light Field Image Coding | por |
dc.type | conference proceedings | |
dspace.entity.type | Publication | |
oaire.awardTitle | Scalable Light Field Representation and Coding for Immersive Systems | |
oaire.awardTitle | Instituto de Telecomunicações | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F136953%2F2018/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50008%2F2019/PT | |
oaire.citation.conferenceDate | 2019-09 | |
oaire.citation.conferencePlace | Coruna | |
oaire.citation.title | European Signal Processing Conference (EUSIPCO) | |
oaire.fundingStream | OE | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
person.familyName | M. M. Rodrigues | |
person.familyName | Faria | |
person.givenName | Nuno | |
person.givenName | Sergio | |
person.identifier.ciencia-id | 8815-4101-28DD | |
person.identifier.orcid | 0000-0001-9536-1017 | |
person.identifier.orcid | 0000-0002-0993-9124 | |
person.identifier.rid | C-5245-2011 | |
person.identifier.scopus-author-id | 7006052345 | |
person.identifier.scopus-author-id | 14027853900 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
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