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Image retrieval based on semantics of intra-region color properties

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conference contribution
posted on 2008-01-01, 00:00 authored by Atul SajjanharAtul Sajjanhar, G Luo, D Zhang, Wanlei Zhou, Yi-Ping Phoebe Chen
Traditional image retrieval systems are content based image retrieval systems which rely on low-level features for indexing and retrieval of images. CBIR systems fail to meet user expectations because of the gap between the low level features used by such systems and the high level perception of images by humans. Semantics based methods have been used to describe images according to their high level features. In this paper, we performed experiments to identify the failure of existing semantics-based methods to retrieve images in a particular semantic category. We have proposed a new semantic category to describe the intra-region color feature. The proposed semantic category complements the existing high level descriptions. Experimental results confirm the effectiveness of the proposed method.

History

Pagination

338 - 343

Location

Sydney, N.S.W.

Open access

  • Yes

Start date

2008-07-08

End date

2008-07-11

ISBN-13

9781424423583

Language

eng

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.

Publication classification

E1 Full written paper - refereed; E Conference publication

Editor/Contributor(s)

Q Wu, Z He, Q Nguyen, W Jia, M Huang

Title of proceedings

CIT 2008: Proceedings of 2008 IEEE 8th International Conference on Computer and Information Technology

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