dc.creatorLi L.T.
dc.creatorPenatti O.A.B.
dc.creatorFox E.A.
dc.creatorTorres R.D.S.
dc.date2013
dc.date2015-06-25T19:09:16Z
dc.date2015-11-26T15:07:11Z
dc.date2015-06-25T19:09:16Z
dc.date2015-11-26T15:07:11Z
dc.date.accessioned2018-03-28T22:17:36Z
dc.date.available2018-03-28T22:17:36Z
dc.identifier9781450320764
dc.identifierProceedings Of The Acm/ieee Joint Conference On Digital Libraries. , v. , n. , p. 363 - 366, 2013.
dc.identifier15525996
dc.identifier10.1145/2467696.2467727
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84882268215&partnerID=40&md5=e14199e7ceb0293b1621709f7fd0ab91
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/88263
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/88263
dc.identifier2-s2.0-84882268215
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1257396
dc.descriptionThe use of map-based browser services is of great relevance in numerous digital libraries. The implementation of such services, however, demands the use of geocoded data collections. This paper investigates the use of image content local representations in geocoding tasks. Performed experiments demonstrate that some of the evaluated descriptors yield effective results in the task of geocoding VT building photos. This study is the first step to geocode multimedia material. Copyright © 2013 by the Association for Computing Machinery, Inc. (ACM).
dc.description
dc.description
dc.description363
dc.description366
dc.descriptionSpecial Interest Group on Information Retrieval (ACM SIGIR),ACM SIGWEB
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dc.languageen
dc.publisher
dc.relationProceedings of the ACM/IEEE Joint Conference on Digital Libraries
dc.rightsfechado
dc.sourceScopus
dc.titleDomain-specific Image Geocoding: A Case Study On Virginia Tech Building Photos
dc.typeActas de congresos


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