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Tree-Based Ensemble Methods for Complexity Reduction of VVC Intra Coding

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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorFilipe, Jose N.
dc.contributor.authorCarreira, J.
dc.contributor.authorTavora, Luis M. N.
dc.contributor.authorFaria, Sergio M. M. de
dc.contributor.authorNavarro, Antonio
dc.contributor.authorAssuncao, Pedro A. A.
dc.date.accessioned2026-03-26T18:35:54Z
dc.date.available2026-03-26T18:35:54Z
dc.date.issued2021-02
dc.descriptionEISBN - 978-1-6654-1588-0
dc.descriptionDate of Conference: 11-12 February 2021
dc.description.abstractThe rise of new applications and emerging services required ultra-high definition (UHD) led to the development of a new video compression standard, name Versatile Video Coding (VVC). In comparison with High Efficiency Video Coding, the new standard increases the coding efficiency, at the expense of greatly increasing the computational complexity of the encoding process, especially in UHD and 360°video. To overcome this issue, this paper presents a novel method to reduce the computational complexity of intra-coded 360°video in Equirectangular Projection format, based on 3 tree-based ensemble models to predict the maximum partition depth that should be used for intra-coding of the complex nested data structures (Quad Tree, Binary Tree and Ternary Tree) used in the VVC standard. Two different tree-based ensemble methods are studied, namely Random Forest and Extremely Randomised Trees. The experimental results achieve, on average, complexity reductions of 56.25% and 57.45% for Random Forests and Extremely Randomised Trees methods, with small loss of coding efficiency of 1.37 % and 1.46 %, respectively.eng
dc.description.sponsorshipThis work was supported by Programa Operacional Regional do Centro, project ARoundVision CENTRO-01-0145-FEDER-030652 and by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/EEA/50008/2020, Portugal.
dc.identifier.citationJ. N. Filipe, J. Carreira, L. M. N. Tavora, S. M. M. de Faria, A. Navarro and P. A. A. Assuncao, "Tree-Based Ensemble Methods for Complexity Reduction of VVC Intra Coding," 2021 Telecoms Conference (ConfTELE), Leiria, Portugal, 2021, pp. 1-6, doi: https://doi.org/10.1109/ConfTELE50222.2021.9435476.
dc.identifier.doi10.1109/conftele50222.2021.9435476
dc.identifier.isbn978-1-6654-4680-8
dc.identifier.isbn978-1-6654-1588-0
dc.identifier.urihttp://hdl.handle.net/10400.8/16027
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/9435476
dc.relation.ispartof2021 Telecoms Conference (ConfTELE)
dc.rights.uriN/A
dc.subjectomnidirectional video compression
dc.subjectVVC
dc.subject360- degree video
dc.subjectcomplexity reduction
dc.titleTree-Based Ensemble Methods for Complexity Reduction of VVC Intra Codingeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2021-02
oaire.citation.conferencePlaceLeiria, Portugal
oaire.citation.title2021 Telecoms Conference, ConfTELE 2021
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMonteiro Carreira
person.familyNamede Oliveira Pegado de Noronha E Távora
person.familyNameFaria
person.familyNameAssunção
person.givenNameJoão Filipe
person.givenNameLuís Miguel
person.givenNameSergio
person.givenNamePedro
person.identifier.ciencia-id911C-4634-594A
person.identifier.ciencia-id121C-FADA-D750
person.identifier.ciencia-id8815-4101-28DD
person.identifier.ciencia-id6811-3984-C17B
person.identifier.gsidj3gTMAcAAAAJ&hl
person.identifier.orcid0000-0002-5711-5875
person.identifier.orcid0000-0002-8580-1979
person.identifier.orcid0000-0002-0993-9124
person.identifier.orcid0000-0001-9539-8311
person.identifier.ridC-5245-2011
person.identifier.ridA-4827-2017
person.identifier.scopus-author-id14027853900
person.identifier.scopus-author-id6701838347
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relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublication.latestForDiscovery762f8087-0f43-4df3-bc4d-db13f8ddd8c2

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The rise of new applications and emerging services required ultra-high definition (UHD) led to the development of a new video compression standard, name Versatile Video Coding (VVC). In comparison with High Efficiency Video Coding, the new standard increases the coding efficiency, at the expense of greatly increasing the computational complexity of the encoding process, especially in UHD and 360°video. To overcome this issue, this paper presents a novel method to reduce the computational complexity of intra-coded 360°video in Equirectangular Projection format, based on 3 tree-based ensemble models to predict the maximum partition depth that should be used for intra-coding of the complex nested data structures (Quad Tree, Binary Tree and Ternary Tree) used in the VVC standard. Two different tree-based ensemble methods are studied, namely Random Forest and Extremely Randomised Trees. The experimental results achieve, on average, complexity reductions of 56.25% and 57.45% for Random Forests and Extremely Randomised Trees methods, with small loss of coding efficiency of 1.37 % and 1.46 %, respectively.
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