Combining re-ranking and rank aggregation methods for image retrieval

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dc.contributor.authorPedronette, Daniel Carlos Guimarães [UNESP]
dc.contributor.authorTorres, Ricardo da S.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2018-12-11T16:39:55Z
dc.date.available2018-12-11T16:39:55Z
dc.date.issued2016-08-01
dc.description.abstractThis paper presents novel approaches for combining re-ranking and rank aggregation methods aiming at improving the effectiveness of Content-Based Image Retrieval (CBIR) systems. Given a query image as input, CBIR systems retrieve the most similar images in a collection by taking into account image visual properties. In this scenario, accurately ranking collection images is of great relevance. Aiming at improving the effectiveness of CBIR systems, re-ranking and rank aggregation algorithms have been proposed. However, different re-ranking and rank aggregation approaches, applied to different image descriptors, may produce different and complementary image rankings. In this paper, we present four novel approaches for combining these rankings aiming at obtaining more effective results. Several experiments were conducted involving shape, color, and texture descriptors. The proposed approaches are also evaluated on multimodal retrieval tasks, considering visual and textual descriptors. Experimental results demonstrate that our approaches can improve significantly the effectiveness of image retrieval systems.en
dc.description.affiliationDepartment of Statistics Applied Mathematics and Computing São Paulo State University (UNESP)
dc.description.affiliationRecod Lab - Institute of Computing University of Campinas (UNICAMP)
dc.description.affiliationUnespDepartment of Statistics Applied Mathematics and Computing São Paulo State University (UNESP)
dc.format.extent9121-9144
dc.identifierhttp://dx.doi.org/10.1007/s11042-015-3044-0
dc.identifier.citationMultimedia Tools and Applications, v. 75, n. 15, p. 9121-9144, 2016.
dc.identifier.doi10.1007/s11042-015-3044-0
dc.identifier.file2-s2.0-84946854614.pdf
dc.identifier.issn1573-7721
dc.identifier.issn1380-7501
dc.identifier.scopus2-s2.0-84946854614
dc.identifier.urihttp://hdl.handle.net/11449/168138
dc.language.isoeng
dc.relation.ispartofMultimedia Tools and Applications
dc.relation.ispartofsjr0,287
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectContent-based image retrieval
dc.subjectFusion
dc.subjectRank aggregation
dc.subjectRe-ranking
dc.titleCombining re-ranking and rank aggregation methods for image retrievalen
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