dc.creatordos Santos
dc.creatorJoyce Miranda; de Moura
dc.creatorEdleno Silva; da Silva
dc.creatorAltigran Soares; Cavalcanti
dc.creatorJoao Marcos B.; Torres
dc.creatorRicardo da Silva; Vidal
dc.creatorMarcio Luiz A.
dc.date2015-Nov
dc.date2016-06-07T13:16:15Z
dc.date2016-06-07T13:16:15Z
dc.date.accessioned2018-03-29T01:36:52Z
dc.date.available2018-03-29T01:36:52Z
dc.identifier
dc.identifierA Signature-based Bag Of Visual Words Method For Image Indexing And Search. Elsevier Science Bv, v. 65, p. 1-7 Nov-2015.
dc.identifier0167-8655
dc.identifierWOS:000362187000001
dc.identifier10.1016/j.patrec.2015.06.023
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0167865515001956
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/242040
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1305738
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionIn this paper, we revisit SDLC, an image retrieval method that adopts a signature-based approach to identify visual words, instead of the more conventional approach that identifies them by using clustering techniques. We start by providing a formal and generalized definition of the approach adopted in SDLC, which we call Signature-Based Bag of Visual Words. After that, we present a detailed study of SDLC parameters and experiments with distinct weighting schemes used to compute the ranking of results, comparing the method to well-known cluster-based bag of visual words approaches. When compared to the initial proposal of SDLC, the choice of different parameters and a new weighting scheme allowed us to considerably reduce the size of the textual representation generated by the method, reducing also the indexing times and the query processing times in all collections adopted in the experiments. Further, the SDLC outperforms the baselines in most of these collections. (C) 2015 Elsevier B.V. All rights reserved.
dc.description65
dc.description
dc.description
dc.description1
dc.description7
dc.descriptionproject E-vox pesquisa/FAPEAM
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description
dc.description
dc.description
dc.languageen
dc.publisherELSEVIER SCIENCE BV
dc.publisher
dc.publisherAMSTERDAM
dc.relationPATTERN RECOGNITION LETTERS
dc.rightsembargo
dc.sourceWOS
dc.subjectInformation
dc.subjectRetrieval
dc.titleA Signature-based Bag Of Visual Words Method For Image Indexing And Search
dc.typeArtículos de revistas


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