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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

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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  •    Full 3D Compact Histogram Segmentation of Color Images
  •    An Efficient Frequent Temporal Pattern Mining Algorithm
  •    Implementation of Matrix Folding in Multimedia Transmission
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






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