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Computational complexity control for HEVC based on coding tree spatio-temporal correlation

2013-12Comunicação em conferência Acesso restrito
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorCorrea, Guilherme
dc.contributor.authorAssunção, Pedro
dc.contributor.authorCruz, Luis A. da Silva
dc.contributor.authorAgostini, Luciano
dc.date.accessioned2026-03-18T15:50:59Z
dc.date.available2026-03-18T15:50:59Z
dc.date.issued2013-12
dc.description.abstractThe High Efficiency Video Coding standard shows improved compression efficiency in comparison to previous standards at the cost of higher computational complexity. In this paper, a complexity control method for HEVC encoders based on the dynamic adjustment of the number of constrained coding treeblocks is proposed. The method limits the maximum tree depth used in the coding structures based on spatio-temporal correlation in order to decrease the number of evaluations performed in the Rate-Distortion Optimization process. Experimental results show that the proposed method is capable of maintaining the encoding time per frame under a pre-defined target, reaching computational complexity decreases of up to 50% at the cost of an average BD-PSNR loss of 0.26 dB in the worst case scenario.eng
dc.description.sponsorshipThis work was supported by Instituto de Telecomunicações (IT, Portugal) and by the Brazilian National Council for Scientific and Technological Development (CNPq, Brazil).
dc.identifier.citationG. Correa, P. Assuncao, L. A. da Silva Cruz and L. Agostini, "Computational complexity control for HEVC based on coding tree spatio-temporal correlation," 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS), Abu Dhabi, United Arab Emirates, 2013, pp. 937-940, doi: 10.1109/ICECS.2013.6815566.
dc.identifier.doi10.1109/icecs.2013.6815566
dc.identifier.urihttp://hdl.handle.net/10400.8/15913
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/6815566
dc.relation.ispartof2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS)
dc.rights.uriN/A
dc.titleComputational complexity control for HEVC based on coding tree spatio-temporal correlationeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2013
oaire.citation.conferencePlaceAbu Dhabi, United Arab Emirates
oaire.citation.title2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS)
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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