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

Turgay Yilmaz; Adnan Yazici; Yakup Yildirim

doi:10.1007/978-3-642-24764-4_14

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

Turgay Yilmaz, Adnan Yazici, Yakup Yildirim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

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.

Original language	English
Title of host publication	Flexible Query Answering Systems - 9th International Conference, FQAS 2011, Proceedings
Pages	149-161
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-642-24764-4_14
State	Published - 2011
Externally published	Yes
Event	9th International Conference on Flexible Query Answering Systems, FQAS 2011 - Ghent, Belgium Duration: Oct 26 2011 → Oct 28 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7022 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Flexible Query Answering Systems, FQAS 2011
Country/Territory	Belgium
City	Ghent
Period	10/26/11 → 10/28/11

Access to Document

10.1007/978-3-642-24764-4_14

Cite this

Yilmaz, T., Yazici, A., & Yildirim, Y. (2011). Exploiting class-specific features in multi-feature dissimilarity space for efficient querying of images. In Flexible Query Answering Systems - 9th International Conference, FQAS 2011, Proceedings (pp. 149-161). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7022 LNAI). https://doi.org/10.1007/978-3-642-24764-4_14

Yilmaz, Turgay ; Yazici, Adnan ; Yildirim, Yakup. / Exploiting class-specific features in multi-feature dissimilarity space for efficient querying of images. Flexible Query Answering Systems - 9th International Conference, FQAS 2011, Proceedings. 2011. pp. 149-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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Yilmaz, T, Yazici, A & Yildirim, Y 2011, Exploiting class-specific features in multi-feature dissimilarity space for efficient querying of images. in Flexible Query Answering Systems - 9th International Conference, FQAS 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7022 LNAI, pp. 149-161, 9th International Conference on Flexible Query Answering Systems, FQAS 2011, Ghent, Belgium, 10/26/11. https://doi.org/10.1007/978-3-642-24764-4_14

Exploiting class-specific features in multi-feature dissimilarity space for efficient querying of images. / Yilmaz, Turgay; Yazici, Adnan; Yildirim, Yakup.
Flexible Query Answering Systems - 9th International Conference, FQAS 2011, Proceedings. 2011. p. 149-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7022 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Yilmaz T, Yazici A, Yildirim Y. Exploiting class-specific features in multi-feature dissimilarity space for efficient querying of images. In Flexible Query Answering Systems - 9th International Conference, FQAS 2011, Proceedings. 2011. p. 149-161. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-24764-4_14

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

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