Improvement of face detection algorithms for news videos

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dc.citation.epage311en_US
dc.citation.spage308en_US
dc.citation.volumeNumber2005en_US
dc.contributor.authorIkizler, Nazlıen_US
dc.contributor.authorDuygulu, Pınaren_US
dc.coverage.spatialKayseri, Turkeyen_US
dc.date.accessioned2016-02-08T11:51:32Z
dc.date.available2016-02-08T11:51:32Z
dc.date.issued2005en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 16-18 May 2005en_US
dc.description.abstractPeople are the most important subjects in news videos and for proper retrieval of person images, face detection is a very crucial step. However, face detection and recognition in news videos is a very challenging task due to the huge irregularities and high noise level in the data. This study presents a method that combines skin detection and Schneiderman-Kanade face detection, for improving the face detection performance in news videos for a better retrieval. This method has been tested on TRECVID 2003 dataset and the results are very promising. © 2005 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:51:32Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2005en
dc.identifier.doi10.1109/SIU.2005.1567682en_US
dc.identifier.urihttp://hdl.handle.net/11693/27368en_US
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2005.1567682en_US
dc.source.titleProceedings of the IEEE 13th Signal Processing and Communications Applications Conference, 2005.en_US
dc.subjectFace detection algorithmsen_US
dc.subjectNews videosen_US
dc.subjectSchneiderman-Kanade face detectionen_US
dc.subjectAlgorithmsen_US
dc.subjectData reductionen_US
dc.subjectImage analysisen_US
dc.subjectSpurious signal noiseen_US
dc.subjectVideo signal processingen_US
dc.subjectFace recognitionen_US
dc.titleImprovement of face detection algorithms for news videosen_US
dc.title.alternativeHaber videolari için yüz bulma yöntemlerinin iyileştirilmesien_US
dc.typeConference Paperen_US

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