Image clustering for the exploration of video sequences

In this article we present a system for the exploration of video sequences. The system, GAMBAL for the Exploration of Video Sequences (GAMBAL-EVS), segments video sequences, extracting an image for each shot, and then clusters such images and presents them in a visualization system. The system allow...

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Detalhes bibliográficos
Autores: Torra, Vicenç, Lanau, Sergi, Miyamoto, Sadaaki
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2006
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/160606
Acesso em linha:http://hdl.handle.net/10261/160606
Access Level:acceso abierto
Palavra-chave:Information retrieval
Image retrieval
Clustering of video sequences
Video segmentation
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spelling Image clustering for the exploration of video sequencesTorra, VicençLanau, SergiMiyamoto, SadaakiInformation retrievalImage retrievalClustering of video sequencesVideo segmentationIn this article we present a system for the exploration of video sequences. The system, GAMBAL for the Exploration of Video Sequences (GAMBAL-EVS), segments video sequences, extracting an image for each shot, and then clusters such images and presents them in a visualization system. The system allows the user to find similarities between images and to proceed through the video sequences to find the relevant ones. © 2006 Wiley Periodicals, Inc.This work was partly funded by the Generalitat de Catalunya (AGAUR, 2004XT 00004) and the MICYT/MEC (pro jects TIC2001-0633-C03-02 and SEG2004-04352-C04-02).Peer ReviewedJohn Wiley & SonsGeneralitat de CatalunyaMinisterio de Educación y Ciencia (España)Ministerio de Ciencia y Tecnología (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2018201820062018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/160606reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1606062026-05-22T06:33:51Z
dc.title.none.fl_str_mv Image clustering for the exploration of video sequences
title Image clustering for the exploration of video sequences
spellingShingle Image clustering for the exploration of video sequences
Torra, Vicenç
Information retrieval
Image retrieval
Clustering of video sequences
Video segmentation
title_short Image clustering for the exploration of video sequences
title_full Image clustering for the exploration of video sequences
title_fullStr Image clustering for the exploration of video sequences
title_full_unstemmed Image clustering for the exploration of video sequences
title_sort Image clustering for the exploration of video sequences
dc.creator.none.fl_str_mv Torra, Vicenç
Lanau, Sergi
Miyamoto, Sadaaki
author Torra, Vicenç
author_facet Torra, Vicenç
Lanau, Sergi
Miyamoto, Sadaaki
author_role author
author2 Lanau, Sergi
Miyamoto, Sadaaki
author2_role author
author
dc.contributor.none.fl_str_mv Generalitat de Catalunya
Ministerio de Educación y Ciencia (España)
Ministerio de Ciencia y Tecnología (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Information retrieval
Image retrieval
Clustering of video sequences
Video segmentation
topic Information retrieval
Image retrieval
Clustering of video sequences
Video segmentation
description In this article we present a system for the exploration of video sequences. The system, GAMBAL for the Exploration of Video Sequences (GAMBAL-EVS), segments video sequences, extracting an image for each shot, and then clusters such images and presents them in a visualization system. The system allows the user to find similarities between images and to proceed through the video sequences to find the relevant ones. © 2006 Wiley Periodicals, Inc.
publishDate 2006
dc.date.none.fl_str_mv 2006
2018
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/160606
url http://hdl.handle.net/10261/160606
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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