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A fast full partitioning algorithm for HEVC-to-VVC video transcoding using Bayesian classifiers

dc.contributor.authorGarcía Lucas, David 
dc.contributor.authorCebrián Márquez, Gabriel 
dc.contributor.authorDíaz Honrubia, Antonio Jesús
dc.contributor.authorMallikarachchi, T.
dc.contributor.authorCuenca, P.
dc.date.accessioned2023-10-25T08:54:05Z
dc.date.available2023-10-25T08:54:05Z
dc.date.issued2023
dc.identifier.citationJournal of Visual communication and Image Representation, 94 (2023); doi:10.1016/j.jvcir.2023.103829
dc.identifier.issn1047-3203
dc.identifier.urihttps://hdl.handle.net/10651/69813
dc.description.sponsorshipRegional Government of Castilla-La Mancha under project SBPLY/21/180501/000195, by the Spanish Ministry of Science, Innovation and Universities and the European Commission (FEDER) under projects PID2021-123627OB-C52 and PID2021-128167OA-I00, and by the Spanish Ministry of Education, Culture and Sports under Grant FPU16/05692.
dc.language.isoeng
dc.relation.ispartofJournal of Visual communication and Image Representation
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85158837304&doi=10.1016%2fj.jvcir.2023.103829&partnerID=40&md5=89545bc416f079cece45563a59104d07
dc.titleA fast full partitioning algorithm for HEVC-to-VVC video transcoding using Bayesian classifiers
dc.typejournal article
dc.identifier.doi10.1016/j.jvcir.2023.103829
dc.relation.projectIDPID2021-123627OB-C52
dc.relation.projectIDPID2021-128167OA-I00
dc.relation.projectIDFPU16/05692 
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.jvcir.2023.103829
dc.rights.accessRightsopen access


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