Akademik Veri Yönetim Sistemi
9th International Conference on Flexible Query Answering Systems (FQAS 2011), Ghent, Belçika, 26 - 28 Ekim 2011, cilt.7022, ss.149-161
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.