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      • Department of Electrical and Electronics Engineering
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      Motion vector based features for content based video copy detection

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      Author
      Taşdemir, K.
      Çetin, A. Enis
      Date
      2010
      Source Title
      2010 20th International Conference on Pattern Recognition
      Print ISSN
      1051-4651
      Publisher
      IEEE
      Pages
      3134 - 3137
      Language
      English
      Type
      Conference Paper
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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 images
      Content-based
      Copy detection
      Feature sets
      Frame rate
      Image frames
      Motion Vectors
      Robust parameters
      Video clips
      Video copy detection
      Pattern recognition
      Vectors
      Permalink
      http://hdl.handle.net/11693/28510
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ICPR.2010.767
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      • Department of Electrical and Electronics Engineering 3524
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