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dc.contributor.authorMartins, Guilherme B. [UNESP]
dc.contributor.authorPapa, Joao P. [UNESP]
dc.contributor.authorAlmeida, Jurandy
dc.contributor.authorIEEE
dc.date.accessioned2018-11-26T17:39:43Z
dc.date.available2018-11-26T17:39:43Z
dc.date.issued2016-01-01
dc.identifierhttp://dx.doi.org/10.1109/SIBGRAPI.2016.50
dc.identifier.citation2016 29th Sibgrapi Conference On Graphics, Patterns And Images (sibgrapi). New York: Ieee, p. 335-339, 2016.
dc.identifier.issn1530-1834
dc.identifier.urihttp://hdl.handle.net/11449/163001
dc.description.abstractVideo summarization aims at generating reduced representations for fast and effective video retrieval and classification. In this paper, we cope with such problem by proposing a temporal-and spatial-driven approach that makes use of the Optimum-Path Forest (OPF) clustering to automatic find the number of keyframes, as well as to extract them to compose the final summary. The experiments in two public datasets show OPF can outperform very recent results, thus achieving a performance comparable to some state-of-the-art techniques.en
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent335-339
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2016 29th Sibgrapi Conference On Graphics, Patterns And Images (sibgrapi)
dc.sourceWeb of Science
dc.subjectOptimum-Path Forest
dc.subjectVideo Summarization
dc.titleTemporal-and Spatial-Driven Video Summarization Using Optimum-Path Foresten
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.description.affiliationSao Paulo State Univ UNESP, Dept Comp, Bauru, SP, Brazil
dc.description.affiliationFed Univ Sao Paulo UNIFESP, Inst Sci & Technol, Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ UNESP, Dept Comp, Bauru, SP, Brazil
dc.identifier.doi10.1109/SIBGRAPI.2016.50
dc.identifier.wosWOS:000405493800044
dc.rights.accessRightsAcesso aberto
dc.description.sponsorshipIdCNPq: 470571/2013-6
dc.description.sponsorshipIdCNPq: 306166/2014-3
dc.description.sponsorshipIdFAPESP: 2014/16250-9
dc.description.sponsorshipIdFAPESP: 2015/50319-9
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