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dc.contributor.authorKucuktunc O.en_US
dc.contributor.authorSevil, S.G.en_US
dc.contributor.authorTosun, A.B.en_US
dc.contributor.authorZitouni H.en_US
dc.contributor.authorDuygulu P.en_US
dc.contributor.authorCan F.en_US
dc.date.accessioned2016-02-08T11:36:32Z
dc.date.available2016-02-08T11:36:32Z
dc.date.issued2008en_US
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11693/26812
dc.description.abstractIn this paper, we propose an automatic photo tag expansion system for the community photo collections, such as Flickr. Our aim is to suggest relevant tags for a target photograph uploaded to the system by a user, by incorporating the visual and textual cues from other related photographs. As the first step, the system requires the user to add only a few initial tags for each uploaded photo. These initial tags are used to retrieve related photos including the same tags in their tag lists. Then the set of candidate tags collected from a large pool of photos is weighted according to the similarity of the target photo to the retrieved photo including the tag. Finally, the tags in the highest rankings are used to automatically expand the tags of the target photo. The experimental results on Flickr photos show that, the use of visual similarity of semantically relevant photos to recommend tags improves the quality of suggested tags compared to only text-based systems. © 2008 Springer Berlin Heidelberg.en_US
dc.language.isoEnglishen_US
dc.source.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-540-92235-3_7en_US
dc.subjectInformation theoryen_US
dc.subjectPhotographyen_US
dc.subjectTargetsen_US
dc.subjectVisual communicationen_US
dc.subjectPhoto collectionsen_US
dc.subjectPhoto sharingen_US
dc.subjectText-based systemsen_US
dc.subjectVisual informationsen_US
dc.subjectVisual similaritiesen_US
dc.subjectSemanticsen_US
dc.titleTag suggestr: Automatic photo tag expansion using visual information for photo sharing websitesen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineering
dc.citation.spage61en_US
dc.citation.epage73en_US
dc.citation.volumeNumber5392 LNCSen_US
dc.identifier.doi10.1007/978-3-540-92235-3_7en_US


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