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Selective motion vector redundancies for improved error resilience in HEVC

2014-10-27Comunicação em conferência Acesso aberto
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datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorCarreira, J.
dc.contributor.authorEkmekcioglu, E
dc.contributor.authorKondoz, A.
dc.contributor.authorAssuncao, P.
dc.contributor.authorFaria, S.
dc.contributor.authorSilva, V. De
dc.date.accessioned2026-05-18T15:01:55Z
dc.date.available2026-05-18T15:01:55Z
dc.date.issued2014-10-27
dc.description.abstractThis paper addresses the problem caused by motion vector coding dependencies on the error resilience performance of the emergent High Efficiency Video Coding (HEVC) standard. We propose a method based on the prediction dependency of motion vectors (MV) to select the most relevant ones for redundant coding with reduced overhead. The spatial dependencies are analysed in the encoder to prioritise the MVs that should be selected for redundancy, based on the number of subsequent dependent coding units. Then, a subset of prioritised MVs is transmitted as redundancy (referred to as side information in the paper), to reduce the use and propagation of mismatched MV predictions in case of transmission errors or data loss. The simulation results show that the proposed MV selection method can effectively identify the most relevant motion field, achieving improved error robustness with a reduced redundancy overhead. Exploiting only 30% of the generated MVs for redundancy, average quality gains of up to 1 dB are achieved compared to a uniform MV selection scheme, and up to 2 dB compared to the original HEVC standard with no redundant encoded information.eng
dc.description.sponsorshipThis work was supported by the Fundação para a Ciência e a Tecnologia, Portugal (under the PhD grant SFRH/BD/86368/2012), and the ROMEO project (grant number: 287896), which was funded by the EC FP7 ICT collaborative research programme.
dc.identifier.citationJ. Carreira, E. Ekmekcioglu, A. Kondoz, P. Assuncao, S. Faria and V. De Silva, "Selective motion vector redundancies for improved error resilience in HEVC," 2014 IEEE International Conference on Image Processing (ICIP), Paris, France, 2014, pp. 2457-2461, doi: 10.1109/ICIP.2014.7025497
dc.identifier.doi10.1109/icip.2014.7025497
dc.identifier.eissn2381-8549
dc.identifier.isbn978-1-4799-5751-4
dc.identifier.issn1522-4880
dc.identifier.urihttp://hdl.handle.net/10400.8/16297
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/7025497
dc.relation.ispartof2014 IEEE International Conference on Image Processing (ICIP)
dc.rights.uriN/A
dc.subjectHEVC
dc.subjectError resilience
dc.subjectMotion vectors redundancy
dc.titleSelective motion vector redundancies for improved error resilience in HEVCeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2014-10-27
oaire.citation.conferencePlaceParis
oaire.citation.endPage2461
oaire.citation.startPage2457
oaire.citation.title2014 IEEE International Conference on Image Processing (ICIP)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMonteiro Carreira
person.familyNameAssunção
person.familyNameFaria
person.givenNameJoão Filipe
person.givenNamePedro
person.givenNameSergio
person.identifier.ciencia-id911C-4634-594A
person.identifier.ciencia-id6811-3984-C17B
person.identifier.ciencia-id8815-4101-28DD
person.identifier.gsidj3gTMAcAAAAJ&hl
person.identifier.orcid0000-0002-5711-5875
person.identifier.orcid0000-0001-9539-8311
person.identifier.orcid0000-0002-0993-9124
person.identifier.ridA-4827-2017
person.identifier.ridC-5245-2011
person.identifier.scopus-author-id6701838347
person.identifier.scopus-author-id14027853900
relation.isAuthorOfPublication762f8087-0f43-4df3-bc4d-db13f8ddd8c2
relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublicationf69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication.latestForDiscovery762f8087-0f43-4df3-bc4d-db13f8ddd8c2

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