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Dynamic Motion Vector Refreshing For Enhanced Error Resilience In Hevc

datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorCarreira, J.
dc.contributor.authorSilva, V. de
dc.contributor.authorEkmekcioglu, E.
dc.contributor.authorKondoz, A.
dc.contributor.authorAssuncao, P.
dc.contributor.authorFaria, S.
dc.date.accessioned2026-07-08T14:14:26Z
dc.date.available2026-07-08T14:14:26Z
dc.date.issued2014-09
dc.descriptionEISBN - 978-0-9928-6261-9
dc.descriptionConference date - 1 September 2014 - 5 September 2014; Conference code - 109162
dc.descriptionLink para o documento - https://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569925063.pdf
dc.description.abstractThe high level of compression efficiency achieved by HEVC coding techniques decreases the error resilience performance under error prone conditions. This paper addresses the error resiliency of the HEVC standard, focusing on the new motion estimation tools. It is shown that the temporal dependency of motion information is comparatively higher than that in the H.264/AVC standard, causing an increase in the error propagation. Based on this evidence, this paper proposes a method to make intelligent use of temporal motion vector (MV) candidates during the motion estimation process, in order to decrease the temporal dependency, and improve the error resiliency without penalising the rate-distortion performance. The simulation results show that the proposed method improves the error resilience under tested conditions by increasing the video quality by up to 1.7 dB in average, compared to the reference method that always enables temporal MV candidates.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, V. De Silva, E. Ekmekcioglu, A. Kondoz, P. Assuncao and S. Faria, "Dynamic motion vector refreshing for enhanced error resilience in HEVC," 2014 22nd European Signal Processing Conference (EUSIPCO), Lisbon, Portugal, 2014, pp. 281-285. DOI: https://doi.org/10.5281/zenodo.44045.
dc.identifier.doi10.5281/zenodo.44045
dc.identifier.eissn2076-1465
dc.identifier.isbn978-0-9928-6261-9
dc.identifier.issn2219-5491
dc.identifier.urihttp://hdl.handle.net/10400.8/16566
dc.language.isoeng
dc.peerreviewedyes
dc.publisherEuropean Signal Processing Conference
dc.relationERROR RESILIENCE AND CONCEALMENT OF MULTIVIEW VIDEO PLUS DEPTH FOR HIGH EFFICIENCY VIDEO CODING
dc.relation.hasversionhttps://ieeexplore.ieee.org/abstract/document/6952055
dc.rights.uriN/A
dc.subjectHEVC
dc.subjectvideo coding
dc.subjecterror resilience
dc.titleDynamic Motion Vector Refreshing For Enhanced Error Resilience In Hevceng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberSFRH/BD/86368/2012
oaire.awardTitleERROR RESILIENCE AND CONCEALMENT OF MULTIVIEW VIDEO PLUS DEPTH FOR HIGH EFFICIENCY VIDEO CODING
oaire.awardURIhttp://hdl.handle.net/10400.8/16564
oaire.citation.conferenceDate2014-09
oaire.citation.conferencePlaceLisbon, Portugal
oaire.citation.endPage285
oaire.citation.startPage281
oaire.citation.title22nd European Signal Processing Conference (EUSIPCO)
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
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The high level of compression efficiency achieved by HEVC coding techniques decreases the error resilience performance under error prone conditions. This paper addresses the error resiliency of the HEVC standard, focusing on the new motion estimation tools. It is shown that the temporal dependency of motion information is comparatively higher than that in the H.264/AVC standard, causing an increase in the error propagation. Based on this evidence, this paper proposes a method to make intelligent use of temporal motion vector (MV) candidates during the motion estimation process, in order to decrease the temporal dependency, and improve the error resiliency without penalising the rate-distortion performance. The simulation results show that the proposed method improves the error resilience under tested conditions by increasing the video quality by up to 1.7 dB in average, compared to the reference method that always enables temporal MV candidates.
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