Exploiting class-specific features in multi-feature dissimilarity space for efficient querying of images

Authors:
Turgay Yilmaz;Adnan Yazici;Yakup Yildirim
Affiliations:
Dept. of Computer Engineering, Middle East Technical University, Ankara, Turkey;Dept. of Computer Engineering, Middle East Technical University, Ankara, Turkey;Dept. of Computer Engineering, Middle East Technical University, Ankara, Turkey
Venue:
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Year:
2011

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Abstract

Combining multiple features is an empirically validated approach in the literature, which increases the accuracy in querying. However, it entails processing intrinsic high-dimensionality of features and complicates realizing an efficient system. Two primary problems can be discussed for efficient querying: representation of images and selection of features. In this paper, a class-specific feature selection approach with a dissimilarity based representation method is proposed. The class-specific features are determined by using the representativeness and discriminativeness of features for each image class. The calculations are based on the statistics on the dissimilarity values of training images.