Recognizing faces in news photographs on the web

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dc.citation.epage55en_US
dc.citation.spage50en_US
dc.contributor.authorZitouni, Hilalen_US
dc.contributor.authorBulut, Muhammed Fatihen_US
dc.contributor.authorDuygulu, Pınaren_US
dc.coverage.spatialGüzelyurt, Cyprus
dc.date.accessioned2016-02-08T12:26:44Z
dc.date.available2016-02-08T12:26:44Z
dc.date.issued2009-09en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 14-16 Sept. 2009
dc.descriptionConference name: 24th International Symposium on Computer and Information Sciences, ISCIS 2009
dc.description.abstractWe propose a graph based method in order to recognize the faces that appear on the web using a small training set. First, relevant pictures of the desired people are collected by querying the name in a text based search engine in order to construct the data set. Then, detected faces in these photographs are represented using SIFT features extracted from facial features. The similarities of faces are represented in a graph which is then used in random walk with restart algorithm to provide links between faces. Those links are used for recognition by using two different methods. © 2009 IEEE.en_US
dc.identifier.doi10.1109/ISCIS.2009.5291920en_US
dc.identifier.urihttp://hdl.handle.net/11693/28671
dc.language.isoEnglishen_US
dc.publisherIEEE
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISCIS.2009.5291920en_US
dc.source.title24th International Symposium on Computer and Information Sciences, ISCIS 2009en_US
dc.subjectFaceen_US
dc.subjectFace detectionen_US
dc.subjectNamesen_US
dc.subjectPhotographsen_US
dc.subjectRandom walken_US
dc.subjectData setsen_US
dc.subjectFacial featureen_US
dc.subjectGraph-based methodsen_US
dc.subjectRandom walk with restarten_US
dc.subjectSIFT Featureen_US
dc.subjectSmall trainingen_US
dc.subjectInformation scienceen_US
dc.subjectNatural language processing systemsen_US
dc.subjectSearch enginesen_US
dc.subjectWorld Wide Weben_US
dc.subjectPhotographyen_US
dc.titleRecognizing faces in news photographs on the weben_US
dc.typeConference Paperen_US

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