Exploiting Class-Specific Features in Multi-feature Dissimilarity Space for Efficient Querying of Images

Yilmaz T., YAZICI A., Yildirim Y.

9th International Conference on Flexible Query Answering Systems (FQAS 2011), Ghent, Belgium, 26 - 28 October 2011, vol.7022, pp.149-161 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 7022
  • City: Ghent
  • Country: Belgium
  • Page Numbers: pp.149-161
  • Middle East Technical University Affiliated: Yes


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.