dc.creatorPedronette, DCG
dc.creatorTorres, RD
dc.date2013
dc.dateAUG
dc.date2014-07-30T18:00:28Z
dc.date2015-11-26T16:51:06Z
dc.date2014-07-30T18:00:28Z
dc.date2015-11-26T16:51:06Z
dc.date.accessioned2018-03-28T23:37:53Z
dc.date.available2018-03-28T23:37:53Z
dc.identifierPattern Recognition. Elsevier Sci Ltd, v. 46, n. 8, n. 2350, n. 2360, 2013.
dc.identifier0031-3203
dc.identifierWOS:000317944800024
dc.identifier10.1016/j.patcog.2013.01.004
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/69231
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/69231
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1275900
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.descriptionIn Content-based Image Retrieval (CBIR) systems, ranking accurately collection images is of great relevance. Users are interested in the returned images placed at the first positions, which usually are the most relevant ones. Collection images are ranked in increasing order of their distance to the query pattern (e.g., query image) defined by users. Therefore, the effectiveness of these systems is very dependent on the accuracy of the distance function adopted. In this paper, we present a novel context-based approach for redefining distances and later re-ranking images aiming to improve the effectiveness of CBIR systems. In our approach, distances among images are redefined based on the similarity of their ranked lists. Conducted experiments involving shape, color, and texture descriptors demonstrate the effectiveness of our method. (C) 2013 Elsevier Ltd. All rights reserved.
dc.description46
dc.description8
dc.description2350
dc.description2360
dc.descriptionAMD
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionFAEPEX
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionDGA/UNICAMP
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.languageen
dc.publisherElsevier Sci Ltd
dc.publisherOxford
dc.publisherInglaterra
dc.relationPattern Recognition
dc.relationPattern Recognit.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectContent-based image retrieval
dc.subjectRe-ranking
dc.subjectRanked lists
dc.subjectRank aggregation
dc.subjectNonlinear Dimensionality Reduction
dc.subjectExploiting Contextual Information
dc.subjectShape Retrieval
dc.subjectRecognition
dc.subjectDistance
dc.subjectClassification
dc.subjectTransduction
dc.subjectDescriptors
dc.subjectContour
dc.titleImage re-ranking and rank aggregation based on similarity of ranked lists
dc.typeArtículos de revistas


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