Temporal-and spatial-driven video summarization using optimum-path forest
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
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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Repositório Institucional da UNESP |
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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:29462024-08-05T18:43:55.709948Repositório 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 |
|
_version_ |
1808128971252957184 |