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dc.contributor.authorTaşdemir, K.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialIstanbul, Turkeyen_US
dc.date.accessioned2016-02-08T12:22:34Z
dc.date.available2016-02-08T12:22:34Z
dc.date.issued2010en_US
dc.identifier.issn1051-4651
dc.identifier.urihttp://hdl.handle.net/11693/28510
dc.descriptionDate of Conference: 23-26 Aug. 2010en_US
dc.descriptionDate of Conference: 23-26 Aug. 2010en_US
dc.description.abstractIn this article, we propose a motion vector based feature set for Content Based Copy Detection (CBCD) of video clips. Motion vectors of image frames are one of the signatures of a given video. However, they are not descriptive enough when consecutive image frames are used because most vectors are too small. To overcome this problem we calculate motion vectors in a lower frame rate than the actual frame rate of the video. As a result we obtain longer vectors which form a robust parameter set representing a given video. Experimental results are presented. © 2010 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.title2010 20th International Conference on Pattern Recognitionen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICPR.2010.767en_US
dc.subjectConsecutive imagesen_US
dc.subjectContent-baseden_US
dc.subjectCopy detectionen_US
dc.subjectFeature setsen_US
dc.subjectFrame rateen_US
dc.subjectImage framesen_US
dc.subjectMotion Vectorsen_US
dc.subjectRobust parametersen_US
dc.subjectVideo clipsen_US
dc.subjectVideo copy detectionen_US
dc.subjectPattern recognitionen_US
dc.subjectVectorsen_US
dc.titleMotion vector based features for content based video copy detectionen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage3134en_US
dc.citation.epage3137en_US
dc.identifier.doi10.1109/ICPR.2010.767en_US
dc.publisherIEEEen_US
dc.contributor.bilkentauthorÇetin, A. Enis


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