Motion vector based features for content based video copy detection
Author
Taşdemir, K.
Çetin, A. Enis
Date
2010Source Title
2010 20th International Conference on Pattern Recognition
Print ISSN
1051-4651
Publisher
IEEE
Pages
3134 - 3137
Language
English
Type
Conference PaperItem Usage Stats
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Abstract
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. © 2010 IEEE.
Keywords
Consecutive imagesContent-based
Copy detection
Feature sets
Frame rate
Image frames
Motion Vectors
Robust parameters
Video clips
Video copy detection
Pattern recognition
Vectors