Color Texture Recognition in Video Sequences using Wavelet Covariance Features and Support Vector Machines

Authors:
D. K. Iakovidis;D. E. Maroulis;S. A. Karkanis;I. N. Flaounas
Affiliations:
-;-;-;-
Venue:
EUROMICRO '03 Proceedings of the 29th Conference on EUROMICRO
Year:
2003

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Abstract

This paper pertains to the recognition of texturalregions for color video analysis. The proposed schemeuses the covariance of 2nd-order statistics on the waveletdomain, between the different color channels of the videoframes. These features, named as Color WaveletCovariance (CWC), are used as color textural descriptors.A Support Vector Machine was chosen for theclassification of the CWC feature vectors. Experimentswere conducted using both animated Vistex texturemosaics and standard video clips. The estimated averageaccuracy ranged from 90% to 97%. The results show thatthe proposed methodology could efficiently be used invarious multimedia applications as a complete supervisedcolor texture recognition system.