Person search made easy

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dc.citation.epage588en_US
dc.citation.spage578en_US
dc.citation.volumeNumber3568en_US
dc.contributor.authorİkizler, Nazlıen_US
dc.contributor.authorDuygulu, Pınaren_US
dc.coverage.spatialSingaporeen_US
dc.date.accessioned2016-02-08T11:51:43Z
dc.date.available2016-02-08T11:51:43Zen_US
dc.date.issued2005en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionConference name: CIVR: International Conference on Image and Video Retrieval 4th International Conferenceen_US
dc.descriptionDate of Conference: 20-22 July 2005en_US
dc.description.abstractIn this study, we present a method to extensively reduce the number of retrieved images and increase the retrieval performance for the person queries on the broadcast news videos. A multi-modal approach which integrates face and text information is proposed. A state-of-the-art face detection algorithm is improved using a skin color based method to eliminate the false alarms. This pruned set is clustered to group the similar faces and representative faces are selected from each cluster to be provided to the user. For six person queries of TRECVID2004, on the average, the retrieval rate is increased from 8% to around 50%, and the number of images that the user has to inspect are reduced from hundreds and thousands to tens. © Springer-Verlag Berlin Heidelberg 2005.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:51:43Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2005en_US
dc.identifier.doi10.1007/11526346_61en_US
dc.identifier.doi10.1007/11526346en_US
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11693/27376en_US
dc.language.isoEnglishen_US
dc.publisherSpringer, Berlin, Heidelbergen_US
dc.relation.isversionofhttps://doi.org/10.1007/11526346_61en_US
dc.relation.isversionofhttps://doi.org/10.1007/11526346en_US
dc.source.titleImage and Video Retrievalen_US
dc.subjectAlgorithmsen_US
dc.subjectColor image processingen_US
dc.subjectFace recognitionen_US
dc.subjectInformation analysisen_US
dc.subjectSkinen_US
dc.subjectTelevision broadcastingen_US
dc.subjectFace detection algorithmen_US
dc.subjectMulti-modal approachen_US
dc.subjectSkin coloren_US
dc.subjectVideo broadcastingen_US
dc.subjectImage retrievalen_US
dc.titlePerson search made easyen_US
dc.typeConference Paperen_US

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