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Sixth Asia-Pacific Software Engineering Conference (APSEC'99)
An Object-Oriented Framework for Content-Based Image Retrieval Based on 5-Tier Architecture
Takamatsu, Japan
December 07-December 10
ISBN: 0-7695-0509-0
Kent K.T. Cheung, City University of Hong Kong
Horace H.S. Ip, City University of Hong Kong
Ringo Lam, City University of Hong Kong
R. Hanka, University of Cambridge
Lilian H.Y. Tang, University of Cambridge
Grant Fuller, University of Cambridge
This paper reports a generic object-oriented framework for content-based image retrieval systems. It is designed so that basic data structures and functionality of a typical content-based image retrieval (CBIR) system are provided without sacrificing speed and flexibility. The framework is based on a 5-tier architecture that allows modules in different tiers to be developed independently and thus flexibility is ensured. We show in this paper that our framework is able to adapt to a wide range of CBIR applications by applying the framework to the development of two on-going projects: a trademark image retrieval system and a medical (histological) image retrieval system. These applications are briefly discussed.
Citation:
Kent K.T. Cheung, Horace H.S. Ip, Ringo Lam, R. Hanka, Lilian H.Y. Tang, Grant Fuller, "An Object-Oriented Framework for Content-Based Image Retrieval Based on 5-Tier Architecture," apsec, pp.174, Sixth Asia-Pacific Software Engineering Conference (APSEC'99), 1999
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