dc.creatorAlmeida, J
dc.creatorLeite, NJ
dc.creatorTorres, RD
dc.date2013
dc.dateAUG
dc.date2014-07-30T18:02:44Z
dc.date2015-11-26T17:47:50Z
dc.date2014-07-30T18:02:44Z
dc.date2015-11-26T17:47:50Z
dc.date.accessioned2018-03-29T00:30:34Z
dc.date.available2018-03-29T00:30:34Z
dc.identifierJournal Of Visual Communication And Image Representation. Academic Press Inc Elsevier Science, v. 24, n. 6, n. 729, n. 738, 2013.
dc.identifier1047-3203
dc.identifierWOS:000320426900010
dc.identifier10.1016/j.jvcir.2012.01.009
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/69463
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/69463
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1288903
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionRecent advances in technology have increased the availability of video data, creating a strong requirement for efficient systems to manage those materials. Making efficient use of video information requires that data to be accessed in a user-friendly way. Ideally, one would like to understand a video content, without having to watch it entirely. This has been the goal of a quickly evolving research area known as video summarization. In this paper, we present a novel approach for video summarization that works in the compressed domain and allows the progressive generation of a video summary. The proposed method relies on exploiting visual features extracted from the video stream and on using a simple and fast algorithm to summarize the video content. Experiments on a TRECVID 2007 dataset show that our approach presents high quality relative to the state-of-the-art solutions and in a computational time that makes it suitable for online usage. (C) 2012 Elsevier Inc. All rights reserved.
dc.description24
dc.description6
dc.descriptionSI
dc.description729
dc.description738
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFAPESP [07/52015-0, 08/50837-6, 09/18438-7]
dc.descriptionCNPq [311309/2006-2, 472402/2007-2, 306587/2009-2]
dc.descriptionCAPES [01P-05866/2007]
dc.languageen
dc.publisherAcademic Press Inc Elsevier Science
dc.publisherSan Diego
dc.publisherEUA
dc.relationJournal Of Visual Communication And Image Representation
dc.relationJ. Vis. Commun. Image Represent.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectVideo abstraction
dc.subjectVideo summary
dc.subjectVideo skimming
dc.subjectCompressed domain
dc.subjectProgressive generation
dc.subjectOnline processing
dc.subjectTRECVID 2007
dc.subjectBBC rushes summarization
dc.subjectEngine
dc.titleOnline video summarization on compressed domain
dc.typeArtículos de revistas


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