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Coding Tree Depth Estimation for Complexity Reduction of HEVC

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorCorrea, G.
dc.contributor.authorAssunção, P.
dc.contributor.authorAgostini, L.
dc.contributor.authorCruz, L. A. D. S.
dc.date.accessioned2026-03-09T16:54:03Z
dc.date.available2026-03-09T16:54:03Z
dc.date.issued2013-03
dc.description.abstractThe emerging HEVC standard introduces a number of tools which increase compression efficiency in comparison to its predecessors at the cost of greater computational complexity. This paper proposes a complexity control method for HEVC encoders based on dynamic adjustment of the newly proposed coding tree structures. The method improves a previous solution by adopting a strategy that takes into consideration both spatial and temporal correlation in order to decide the maximum coding tree depth allowed for each coding tree block. Complexity control capability is increased in comparison to a previous work, while compression losses are decreased by 70%. Experimental results show that the encoder computational complexity can be downscaled to 60% with an average bit rate increase around 1.3% and a PSNR decrease under 0.07 dB.eng
dc.identifier.citationG. Correa, P. Assuncao, L. Agostini and L. A. D. S. Cruz, "Coding Tree Depth Estimation for Complexity Reduction of HEVC," 2013 Data Compression Conference, Snowbird, UT, USA, 2013, pp. 43-52, doi: 10.1109/DCC.2013.12.
dc.identifier.doi10.1109/dcc.2013.12
dc.identifier.isbn978-076954965-1
dc.identifier.urihttp://hdl.handle.net/10400.8/15819
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/6543040
dc.relation.ispartof2013 Data Compression Conference
dc.rights.uriN/A
dc.titleCoding Tree Depth Estimation for Complexity Reduction of HEVCeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2013
oaire.citation.endPage52
oaire.citation.startPage43
oaire.citation.titleData Compression Conference Proceedings
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAssunção
person.givenNamePedro
person.identifier.ciencia-id6811-3984-C17B
person.identifier.orcid0000-0001-9539-8311
person.identifier.ridA-4827-2017
person.identifier.scopus-author-id6701838347
relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublication.latestForDiscovery25649bb9-f135-48e8-8d0f-3706b86701d3

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