dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.contributorAdvanced Technologies, SAMSUNG Research Institute
dc.contributorUniversidade de São Paulo (USP)
dc.contributorDept. of Exact Sciences, University of Feira de Santana (UEFS)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T16:38:01Z
dc.date.available2018-12-11T16:38:01Z
dc.date.created2018-12-11T16:38:01Z
dc.date.issued2014-01-01
dc.identifierCEUR Workshop Proceedings, v. 1263.
dc.identifier1613-0073
dc.identifierhttp://hdl.handle.net/11449/167706
dc.identifier2-s2.0-84909942644
dc.description.abstractThis work describes the approach proposed by the RECOD team for the Placing Task of MediaEval 2014. This task requires the definition of automatic schemes to assign geographical locations to images and videos. Our approach is based on the use of as much evidences as possible (textual, visual, and/or audio descriptors) to geocode a given image/video. We estimate the location of test items by clustering the geographic coordinates of top-ranked items in one or more ranked lists defined in terms of different criteria.
dc.languageeng
dc.relationCEUR Workshop Proceedings
dc.relation0,167
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectDescriptors
dc.subjectGeo coding
dc.subjectGeographic coordinates
dc.subjectGeographical locations
dc.titleMultimedia geocoding: The RECOD 2014 approach
dc.typeActas de congresos


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