Repository logo
 
Publication

Classification-based early termination for coding tree structure decision in HEVC

2014-12Conference paper Open access
Simple item page
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.fosCiências Sociais::Ciências da Educação
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
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.accessioned2025-07-07T14:43:59Z
dc.date.available2025-07-07T14:43:59Z
dc.date.issued2014-12
dc.descriptionEISBN - 978-147994242-8
dc.description.abstractThe High Efficiency Video Coding (HEVC) standard provides improved compression rates in comparison to its predecessors at the cost of large increases in computational complexity. An important share of such increases is due to the introduction of flexible Coding Tree structures, which best configuration is decided through exhaustive tests in a Rate-Distortion Optimization (RDO) scheme. In this work, an early termination method for the decision of such structures was designed using classification trees obtained through Data Mining techniques. The classification trees were trained using intermediate encoding results from a training set of video sequences and implemented in the encoder to skip the full RDO-based decision. An average reduction of 37% in the HEVC encoder computational complexity was achieved when using the designed classification trees, with a negligible cost of only 0.28% in terms of Bjontegaard Delta-rate increase.eng
dc.description.sponsorshipThis work was supported by IT-Portugal, CNPq-Brazil, and the project FCTCAPES (4.4.1.00 CAPES) (FCT/1909/27/2/2014/S) by FCT-Portugal and CAPES-Brazil.
dc.identifier.citationCorrea, G., Assuncao, P., da Silva Cruz, L. A., & Agostini, L. (2014, December). Classification-based early termination for coding tree structure decision in HEVC. In 2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS) (pp. 239-242). IEEE. DOI: https://doi.org/10.1109/icecs.2014.7049966.
dc.identifier.doi10.1109/icecs.2014.7049966
dc.identifier.isbn978-147994242-8
dc.identifier.urihttp://hdl.handle.net/10400.8/13559
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/7049966
dc.relation.ispartof2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)
dc.rights.uriN/A
dc.subjectearly termination
dc.subjectclassification trees
dc.subjectdata mining
dc.subjectcomputational complexity
dc.subjecthigh efficiency video coding (HEVC)
dc.titleClassification-based early termination for coding tree structure decision in HEVCeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2014-12
oaire.citation.conferencePlaceMarseille, France
oaire.citation.endPage242
oaire.citation.startPage239
oaire.citation.title2014 21st IEEE International Conference on Electronics, Circuits and Systems, ICECS 2014
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

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Classification-based early termination for coding tree structure decision in HEVC.pdf
Size:
548.88 KB
Format:
Adobe Portable Document Format
Description:
The High Efficiency Video Coding (HEVC) standard provides improved compression rates in comparison to its predecessors at the cost of large increases in computational complexity. An important share of such increases is due to the introduction of flexible Coding Tree structures, which best configuration is decided through exhaustive tests in a Rate-Distortion Optimization (RDO) scheme. In this work, an early termination method for the decision of such structures was designed using classification trees obtained through Data Mining techniques. The classification trees were trained using intermediate encoding results from a training set of video sequences and implemented in the encoder to skip the full RDO-based decision. An average reduction of 37% in the HEVC encoder computational complexity was achieved when using the designed classification trees, with a negligible cost of only 0.28% in terms of Bjontegaard Delta-rate increase.
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.32 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESTG - Comunicações em conferências e congressos internacionais