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dc.contributor.advisorÇetin, A. Enisen_US
dc.contributor.authorZaibi, Rabien_US
dc.date.accessioned2016-01-08T20:16:25Z
dc.date.available2016-01-08T20:16:25Z
dc.date.issued1999
dc.identifier.urihttp://hdl.handle.net/11693/18119
dc.descriptionAnkara : Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent University, 1999.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1999.en_US
dc.descriptionIncludes bibliographical references leaves 44-51en_US
dc.description.abstractWe present a method for scene change detection based on projections onto the vertical, horizontal and diagonal axes. At first, vertical projection of each two consecutive interframe differences are calculated. Then based on the distance measure between them, together with proportionality and sign tests, fade in/out, dissolve, wipe and cut can be classified. We also propose a method for small moving object detection in video sequences based on adaptive prediction and higher order statistical tests. We first eliminate camera movement using subpixel accurate motion estimation. Then adaptive prediction is applied on the image obtained from motion compensation and an error image is obtained. Higher order statistical test is then applied on the residual image to detect small moving objects whose size may consist of only a few pixels.en_US
dc.description.statementofresponsibilityZaibi, Rabien_US
dc.format.extentxi, 58 leavesen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectShot Transitionen_US
dc.subjectProjectionen_US
dc.subjectMoving Object Detectionen_US
dc.subjectHOSen_US
dc.subjectAdaptive Filteringen_US
dc.subject.lccTK6680.5 .Z35 1999en_US
dc.subject.lcshDigital video.en_US
dc.titleChange detection in digital video signalsen_US
dc.typeThesisen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US


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