NDLI: Color texture recognition in video sequences using wavelet covariance features and support vector machines

Content Provider	IEEE Xplore Digital Library
Author	Iakovidis, D.K. Maroulis, D.E. Karkanis, S.A. Flaounas, I.N.
Copyright Year	2003
Description	Author affiliation: Dept. of Informatics & Telecommun., Athens Univ., Greece (Iakovidis, D.K.; Maroulis, D.E.)
Abstract	We pertain to the recognition of textural regions for color video analysis. The proposed scheme uses the covariance of 2/sup nd/-order statistics on the wavelet domain, between the different color channels of the video frames. These features, named as color wavelet covariance (CWC), are used as color textural descriptors. A support vector machine was chosen for the classification of the CWC feature vectors. Experiments were conducted using both animated Vistex texture mosaics and standard video clips. The estimated average accuracy ranged from 90% to 97%. The results show that the proposed methodology could efficiently be used in various multimedia applications as a complete supervised color texture recognition system.
Starting Page	199
Ending Page	204
File Size	318303
Page Count	6
File Format	PDF
ISBN	0769519962
ISSN	10896503
DOI	10.1109/EURMIC.2003.1231589
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-01
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image texture analysis Image sequence analysis Covariance analysis Image color analysis Image segmentation Feature extraction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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