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Multimodal image geocoding: The 2013 RECOD's approach

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dc.contributor.authorLi, Lin Tzy
dc.contributor.authorAlmeida, Jurandy
dc.contributor.authorPenatti, Otávio A.B.
dc.contributor.authorCalumby, Rodrigo T.
dc.contributor.authorPedronette, Daniel C.G. [UNESP]
dc.contributor.authorGonçalves, Marcos A.
dc.contributor.authorDa S. Torres, Ricardo
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionTelecommunications Res. and Dev. Center, CPqD Foundation
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionDept. of Exact Sciences, University of Feira de Santana (UEFS)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)
dc.date.accessioned2022-04-28T19:00:56Z
dc.date.available2022-04-28T19:00:56Z
dc.date.issued2013-01-01
dc.description.abstractThis work describes the approach used by the RECOD team in the MediaEval Placing Task of 2013, in which we were required to develop an automatic scheme to assign geographical locations to images. Our approach is multimodal, considering textual and visual descriptors, which are combined by a rank aggregation strategy. We estimate the location of test images based on the coordinates of top-ranked images in the list of combined results.en
dc.description.affiliationRECOD Lab., Institute of Computing, University of Campinas (UNICAMP)
dc.description.affiliationTelecommunications Res. and Dev. Center, CPqD Foundation
dc.description.affiliationInstitute of Science and Technology, Federal University of Sao Paulo (UNIFESP)
dc.description.affiliationDept. of Exact Sciences, University of Feira de Santana (UEFS)
dc.description.affiliationDept. of Stat., Applied Math. and Computing, Universidade Estadual Paulista (UNESP)
dc.description.affiliationDept. of Computer Science, Federal University of Minas Gerais (UFMG)
dc.description.affiliationUnespDept. of Stat., Applied Math. and Computing, Universidade Estadual Paulista (UNESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipSamsung
dc.identifier.citationCEUR Workshop Proceedings, v. 1043.
dc.identifier.issn1613-0073
dc.identifier.scopus2-s2.0-84924778294
dc.identifier.urihttp://hdl.handle.net/11449/220327
dc.language.isoeng
dc.relation.ispartofCEUR Workshop Proceedings
dc.sourceScopus
dc.subjectDescriptors
dc.subjectGeo coding
dc.subjectGeographical locations
dc.subjectMulti-modal
dc.subjectMulti-modal image
dc.subjectRank aggregation
dc.subjectTest images
dc.titleMultimodal image geocoding: The 2013 RECOD's approachen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

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