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Efficient MV prediction for zonal search in video transcoding

2010-10Comunicação em conferência Acesso aberto
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorMarcelino, S.
dc.contributor.authorFaria, S.
dc.contributor.authorAssunção, P.
dc.contributor.authorMoiron, S.
dc.contributor.authorGhanbari, M.
dc.date.accessioned2025-11-05T16:24:16Z
dc.date.available2025-11-05T16:24:16Z
dc.date.issued2010-10
dc.descriptionArticle number - 5662024; Conference name - 2010 IEEE International Workshop on Multimedia Signal Processing, MMSP2010; Conference date - 4 October 2010 - 6 October 2010; Conference code - 83411
dc.descriptionEISBN - 978-142448112-5
dc.descriptionFonte: https://www.researchgate.net/publication/224203610_Efficient_MV_prediction_for_zonal_search_in_video_transcoding
dc.description.abstractThis paper proposes a method to efficiently find motion vector predictions for zonal search motion re-estimation in fast video transcoders. The motion information extracted from the incoming video stream is processed to generate accurate motion vector predictions for transcoding with reduced complexity. Our results demonstrate that motion vector predictions computed by the proposed method outperform those generated by the highly efficient EPZS (Enhanced Predictive Zonal Search) algorithm in H.264/AVC transcoders. The computational complexity is reduced up to 59.6% at negligible cost in R-D performance. The proposed method can be useful in multimedia systems and applications using any type of transcoder, such as transrating and/or spatial resolution downsizing.eng
dc.identifier.citationMarcelino, S. & De Faria, Sergio & Assunção, Pedro & Moiron, Sandro & Ghanbari, Mohammed. (2010). Efficient MV prediction for zonal search in video transcoding. 228 - 232. DOI: https://doi.org/10.1109/MMSP.2010.5662024.
dc.identifier.doi10.1109/mmsp.2010.5662024
dc.identifier.isbn978-142448112-5
dc.identifier.isbn978-1-4244-8110-1
dc.identifier.urihttp://hdl.handle.net/10400.8/14529
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/5662024
dc.relation.ispartof2010 IEEE International Workshop on Multimedia Signal Processing
dc.rights.uriN/A
dc.subjectComputational complexity
dc.subjectForecasting
dc.subjectMotion Picture Experts Group standards
dc.subjectMultimedia systems
dc.subjectSignal processing
dc.titleEfficient MV prediction for zonal search in video transcodingeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2010-10
oaire.citation.conferencePlaceSaint-Malo, France
oaire.citation.title2010 IEEE International Workshop on Multimedia Signal Processing, MMSP2010
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
person.familyNameMarcelino
person.familyNameFaria
person.familyNameAssunção
person.givenNameSylvain
person.givenNameSergio
person.givenNamePedro
person.identifier.ciencia-id8815-4101-28DD
person.identifier.ciencia-id6811-3984-C17B
person.identifier.orcid0000-0001-7142-8811
person.identifier.orcid0000-0002-0993-9124
person.identifier.orcid0000-0001-9539-8311
person.identifier.ridC-5245-2011
person.identifier.ridA-4827-2017
person.identifier.scopus-author-id14027853900
person.identifier.scopus-author-id6701838347
relation.isAuthorOfPublication105d5598-d71d-4224-be5a-dd1ced899e84
relation.isAuthorOfPublicationf69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublication.latestForDiscovery105d5598-d71d-4224-be5a-dd1ced899e84

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This paper proposes a method to efficiently find motion vector predictions for zonal search motion re-estimation in fast video transcoders. The motion information extracted from the incoming video stream is processed to generate accurate motion vector predictions for transcoding with reduced complexity. Our results demonstrate that motion vector predictions computed by the proposed method outperform those generated by the highly efficient EPZS (Enhanced Predictive Zonal Search) algorithm in H.264/AVC transcoders. The computational complexity is reduced up to 59.6% at negligible cost in R-D performance. The proposed method can be useful in multimedia systems and applications using any type of transcoder, such as transrating and/or spatial resolution downsizing.
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