Taşdemir, K.Çetin, A. Enis2016-02-082016-02-0820101051-4651http://hdl.handle.net/11693/28510Date of Conference: 23-26 Aug. 2010Date of Conference: 23-26 Aug. 2010In 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.EnglishConsecutive imagesContent-basedCopy detectionFeature setsFrame rateImage framesMotion VectorsRobust parametersVideo clipsVideo copy detectionPattern recognitionVectorsConference Paper10.1109/ICPR.2010.767