Motion Vector Based Features for Content Based Video Copy Detection

In 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 to...

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Bibliographic Details
Published in2010 20th International Conference on Pattern Recognition pp. 3134 - 3137
Main Authors Taşdemir, Kasim, Çetin, A Enis
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2010
Subjects
Arrays
Cameras
Conferences
Feature extraction
Image color analysis
Motion pictures
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Summary:In 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.
ISBN:1424475422
9781424475421
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2010.767