Content-based video copy detection based on motion vectors estimated using a lower frame rate
Date
2014-09
Authors
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Supervisor
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Source Title
Signal, Image and Video Processing
Print ISSN
1863-1703
Electronic ISSN
Publisher
Springer U K
Volume
8
Issue
6
Pages
1049 - 1057
Language
English
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Volume Title
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4
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12
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Abstract
We propose a motion vector-based video content-based copy detection method. One of the signatures of a given video is motion vectors extracted from image sequences. However, when consecutive image frames are used, the resulting motion vectors are not descriptive enough because most vectors are either too small or they appear to scatter in all directions. We calculate motion vectors in a lower frame rate than the actual frame rate of the video to overcome this problem. As a result, we obtain large vectors and they represent a given video in a robust manner. We carry out experiments for various parameters and present the results. © 2014 Springer-Verlag London.