dc.contributor | Universidade Estadual de Campinas (UNICAMP) | |
dc.contributor | Advanced Technologies, SAMSUNG Research Institute | |
dc.contributor | Universidade de São Paulo (USP) | |
dc.contributor | Dept. of Exact Sciences, University of Feira de Santana (UEFS) | |
dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2018-12-11T16:38:01Z | |
dc.date.available | 2018-12-11T16:38:01Z | |
dc.date.created | 2018-12-11T16:38:01Z | |
dc.date.issued | 2014-01-01 | |
dc.identifier | CEUR Workshop Proceedings, v. 1263. | |
dc.identifier | 1613-0073 | |
dc.identifier | http://hdl.handle.net/11449/167706 | |
dc.identifier | 2-s2.0-84909942644 | |
dc.description.abstract | This 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.language | eng | |
dc.relation | CEUR Workshop Proceedings | |
dc.relation | 0,167 | |
dc.rights | Acesso aberto | |
dc.source | Scopus | |
dc.subject | Descriptors | |
dc.subject | Geo coding | |
dc.subject | Geographic coordinates | |
dc.subject | Geographical locations | |
dc.title | Multimedia geocoding: The RECOD 2014 approach | |
dc.type | Actas de congresos | |