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Webview: a distributed geographical image retrieval system

Published: 19 May 2002 Publication History

Abstract

With the increasing number of geographical image databases on the Internet, it is a very important issue to know about the most relevant image databases for given user queries, in order to achieve high efficiency in retrieving the images. To address this problem, we have developed a novel system, Webview, which intelligently ranks the distributed geographical image databases based on their visual content. Our system summarizes the visual content of each database in a metadatabase, which is a collection of automatically generated image templates and statistical metadata. With the metadatabase, our system can guide the user queries toward the most relevant image databases in a distributed environment.

References

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W. Chang, G. Sheikholeslami, J. Wang, and A. Zhang. Data resource selection in distributed visual information systems. IEEE Transactions on Knowledge and Data Engineering, 10(6):926--946, November/December 1998.
[2]
L. Zhu, A. Zhang, A. Rao and R. Srihari. Keyblock: An approach for content-based image retrieval. In Proceedings of ACM Multimedia 2000, pages 157--166, Los Angeles, California, USA, Oct 30 - Nov 3 2000.
[3]
G. Sheikholeslami, A. Zhang, and L. Bian. A Multi-Resolution Content-Based Retrieval System for Geographic Images. GoeInformatica, An International Journal on Advances of Computer Science for Geographic Information Systems, 3(2):109--139, June 1999.
[4]
Sheikholeslami G. and Remias E. and Guo J. and Zhang A. Image decomposition and representation in large image database systems. The Journal of Visual Communication and Image Representation, 8(2):167--181, June 1997.

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dg.o '02: Proceedings of the 2002 annual national conference on Digital government research
May 2002
1234 pages

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Digital Government Society of North America

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Published: 19 May 2002

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dg.o '02
dg.o '02: Digital government research
May 19 - 22, 2002
California, Los Angeles, USA

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