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Information Technology Journal
  Year: 2010 | Volume: 9 | Issue: 5 | Page No.: 1003-1012
DOI: 10.3923/itj.2010.1003.1012
 
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Video Macrosegmentation Using Automatic Analysis of Similarity Matrices

S. Haidar, B. Chebaro and B. Haidar

Abstract:
In the present study, we propose an automatic method for segmenting video material using the comparison matrix. Without a priori information, neither any training phase, the similarity matrices are filtered then regional minimums and maximums are extracted over the line and column projections. Pseudo-homogeneous areas are identified between each pair of regional minimums. The pseudo-homogeneous areas in the resulting matrix are thus the macro-segment video records in question. We experiment our method over a database of short video commercials to illustrate the potential of our approach. An overall evaluation is finally established and given.
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How to cite this article:

S. Haidar, B. Chebaro and B. Haidar, 2010. Video Macrosegmentation Using Automatic Analysis of Similarity Matrices. Information Technology Journal, 9: 1003-1012.

DOI: 10.3923/itj.2010.1003.1012

URL: https://scialert.net/abstract/?doi=itj.2010.1003.1012

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