OPFSumm: on the video summarization using Optimum-Path Forest

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade Federal de São Paulo (UNIFESP)-
Autor(es): dc.contributorUniv Fortaleza-
Autor(es): dc.creatorMartins, Guilherme B. [UNESP]-
Autor(es): dc.creatorPereira, Danillo R. [UNESP]-
Autor(es): dc.creatorAlmeida, Jurandy G.-
Autor(es): dc.creatorAlbuquerque, Victor Hugo C. de-
Autor(es): dc.creatorPapa, Joao Paulo [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:10:45Z-
Data de disponibilização: dc.date.available2022-02-22T00:10:45Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-04-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s11042-018-5874-z-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196902-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196902-
Descrição: dc.descriptionVideo summarization attempts at encoding a given video into a compact representation for a better storage and retrieval purposes. This work copes with the problem of static video summarization using the unsupervised Optimum-Path Forest (OPF). We sampled the encoded video sequence into frames and extracted features based on color information or spectral properties. After that, meaningless frames are removed, and OPF models the problem of video summarization as a clustering process. Possible redundant keyframes are filtered, and at last the video summary is created based on non-redundant keyframes. We presented a more in-depth study that also considers temporal information to obtain better video representations. The experiments over three public datasets were analyzed through F-measure evaluation metric and showed the robustness of OPF for automatic video summarization: 0.19 for SumMe dataset, 0.728 concerning Open Video dataset, and 0.451 regarding YouTube dataset..-
Descrição: dc.descriptionSao Paulo State Univ, Dept Comp, Bauru, SP, Brazil-
Descrição: dc.descriptionUniv Fed Sao Paulo, Inst Sci & Technol, Sao Paulo, Brazil-
Descrição: dc.descriptionUniv Fortaleza, Grad Program Appl Informat, Fortaleza, CE, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Dept Comp, Bauru, SP, Brazil-
Formato: dc.format11195-11211-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Relação: dc.relationMultimedia Tools And Applications-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectVideo summarization-
Palavras-chave: dc.subjectOptimum-path forest-
Palavras-chave: dc.subjectOPFSumm-
Palavras-chave: dc.subjectMultimedia tools-
Título: dc.titleOPFSumm: on the video summarization using Optimum-Path Forest-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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