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A method for early-splitting of HEVC inter blocks based on decision trees

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.authorCorrea, Guilherme
dc.contributor.authorAssuncao, Pedro
dc.contributor.authorAgostini, Luciano
dc.contributor.authorCruz, Luis A. da Silva
dc.date.accessioned2026-07-08T15:03:28Z
dc.date.available2026-07-08T15:03:28Z
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/1569910441.pdf
dc.description.abstractThe High Efficiency Video Coding (HEVC) standard provides a large improvement in terms of compression efficiency in comparison to its predecessors, mainly due to the introduction of new coding tools and more flexible data structures. However, since much more options are tested in a Rate-Distortion (R-D) optimization scheme, such improvement is accompanied by a significant increase in the encoding computational complexity. We propose in this paper a novel method for efficient early-splitting decision of inter-predicted Coding Blocks (CB). The method employs a set of decision trees which are trained using information from unconstrained HEVC encoding runs. The resulting early-splitting decision process has an accuracy of 86% with a negligible computational overhead and an average computational complexity decrease of 42% at the cost of a very small Bjontegaard Delta (BD)-rate increase (0.3%).eng
dc.description.sponsorshipThis work was supported by IT-Portugal, CNPq-Brazil, and the project FCT-CAPES (4.4.1.00 CAPES) (FCT/1909/27/2/2014/S) by FCT-Portugal and CAPES-Brazil.
dc.identifier.citationG. Correa, P. Assuncao, L. Agostini and L. A. da Silva Cruz, "A method for early-splitting of HEVC inter blocks based on decision trees," 2014 22nd European Signal Processing Conference (EUSIPCO), Lisbon, Portugal, 2014, pp. 276-280. DOI: https://doi.org/10.13140/2.1.4877.0885.
dc.identifier.doi10.13140/2.1.4877.0885
dc.identifier.eissn2076-1465
dc.identifier.isbn978-0-9928-6261-9
dc.identifier.issn2219-5491
dc.identifier.urihttp://hdl.handle.net/10400.8/16567
dc.language.isoeng
dc.peerreviewedyes
dc.publisherEuropean Signal Processing Conference
dc.relation.hasversionhttps://ieeexplore.ieee.org/abstract/document/6952054
dc.rights.uriN/A
dc.subjectinter mode decision
dc.subjectearly-splitting
dc.subjectda-ta mining
dc.subjectdecision trees
dc.subjectHEVC
dc.titleA method for early-splitting of HEVC inter blocks based on decision treeseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2014-09
oaire.citation.conferencePlaceLisbon, Portugal
oaire.citation.endPage280
oaire.citation.startPage276
oaire.citation.title22nd European Signal Processing Conference (EUSIPCO)
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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The High Efficiency Video Coding (HEVC) standard provides a large improvement in terms of compression efficiency in comparison to its predecessors, mainly due to the introduction of new coding tools and more flexible data structures. However, since much more options are tested in a Rate-Distortion (R-D) optimization scheme, such improvement is accompanied by a significant increase in the encoding computational complexity. We propose in this paper a novel method for efficient early-splitting decision of inter-predicted Coding Blocks (CB). The method employs a set of decision trees which are trained using information from unconstrained HEVC encoding runs. The resulting early-splitting decision process has an accuracy of 86% with a negligible computational overhead and an average computational complexity decrease of 42% at the cost of a very small Bjontegaard Delta (BD)-rate increase (0.3%).
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