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Discriminating shape descriptors based on connectivity

Sajjanhar, Atul, Lu, Guojun and Zhang, Dengsheng 2004, Discriminating shape descriptors based on connectivity, in 2004 International Conference on Multimedia and Expo (ICME) : June 27-30, 2004, Taipei, Taiwan, IEEE Xplore, Piscataway, N.J., pp. 2075-2078.

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Title Discriminating shape descriptors based on connectivity
Author(s) Sajjanhar, Atul
Lu, Guojun
Zhang, Dengsheng
Conference name IEEE International Conference on Multimedia and Expo (2004 : Taipei, Taiwan)
Conference location Taipei, Taiwan
Conference dates 27-30 June 2004
Title of proceedings 2004 International Conference on Multimedia and Expo (ICME) : June 27-30, 2004, Taipei, Taiwan
Editor(s) Chen, Liang-Gee
Publication date 2004
Conference series IEEE International Conference on Multimedia and Expo
Start page 2075
End page 2078
Total pages 4
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Summary We propose a method for enhancing the accuracy of shape descriptors. The concept of connectivity to obtain discriminating shape descriptors, is introduced. We show how connectivity is applied to two popular shape descriptors. Experiments are performed to test the effect of using connectivity with generic Fourier descriptors and distance histograms. Item S8 within the MPEG-7 still images content set is used for performing experiments. This dataset consists of 3621 still images. The experimental results show that connectivity enhances the performance of the methods significantly.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0780386035
Language eng
Field of Research 080106 Image Processing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2004, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005401

Document type: Conference Paper
Collections: School of Information Technology
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