Temporal-and spatial-driven video summarization using optimum-path forest

Detalhes bibliográficos
Autor(a) principal: Martins, Guilherme B. [UNESP]
Data de Publicação: 2017
Outros Autores: Papa, Joao P. [UNESP], Almeida, Jurandy
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/SIBGRAPI.2016.053
http://hdl.handle.net/11449/178668
Resumo: Video 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.
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spelling Temporal-and spatial-driven video summarization using optimum-path forestOptimum-Path ForestVideo SummarizationVideo 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.Department of Computing São Paulo State University - UNESPInstitute of Science and Technology Federal University of São Paulo - UNIFESPDepartment of Computing São Paulo State University - UNESPUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Martins, Guilherme B. [UNESP]Papa, Joao P. [UNESP]Almeida, Jurandy2018-12-11T17:31:35Z2018-12-11T17:31:35Z2017-01-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject335-339http://dx.doi.org/10.1109/SIBGRAPI.2016.053Proceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016, p. 335-339.http://hdl.handle.net/11449/17866810.1109/SIBGRAPI.2016.0532-s2.0-85013763350Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016info:eu-repo/semantics/openAccess2024-04-23T16:11:26Zoai:repositorio.unesp.br:11449/178668Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-23T16:11:26Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Temporal-and spatial-driven video summarization using optimum-path forest
title Temporal-and spatial-driven video summarization using optimum-path forest
spellingShingle Temporal-and spatial-driven video summarization using optimum-path forest
Martins, Guilherme B. [UNESP]
Optimum-Path Forest
Video Summarization
title_short Temporal-and spatial-driven video summarization using optimum-path forest
title_full Temporal-and spatial-driven video summarization using optimum-path forest
title_fullStr Temporal-and spatial-driven video summarization using optimum-path forest
title_full_unstemmed Temporal-and spatial-driven video summarization using optimum-path forest
title_sort Temporal-and spatial-driven video summarization using optimum-path forest
author Martins, Guilherme B. [UNESP]
author_facet Martins, Guilherme B. [UNESP]
Papa, Joao P. [UNESP]
Almeida, Jurandy
author_role author
author2 Papa, Joao P. [UNESP]
Almeida, Jurandy
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Martins, Guilherme B. [UNESP]
Papa, Joao P. [UNESP]
Almeida, Jurandy
dc.subject.por.fl_str_mv Optimum-Path Forest
Video Summarization
topic Optimum-Path Forest
Video Summarization
description Video 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-10
2018-12-11T17:31:35Z
2018-12-11T17:31:35Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/SIBGRAPI.2016.053
Proceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016, p. 335-339.
http://hdl.handle.net/11449/178668
10.1109/SIBGRAPI.2016.053
2-s2.0-85013763350
url http://dx.doi.org/10.1109/SIBGRAPI.2016.053
http://hdl.handle.net/11449/178668
identifier_str_mv Proceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016, p. 335-339.
10.1109/SIBGRAPI.2016.053
2-s2.0-85013763350
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 335-339
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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