Online image retrieval system (OIRS)

Authors:
Khalil Shihab
Affiliations:
Department of Computer Science, Sultan Qaboos University, Muscat, Oman
Venue:
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Year:
2006

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Abstract

In this paper, we presented an online image retrieval system that allows high-quality museum images and associated information to be made available over networks. Case-based reasoning is considered more efficient and of great benefit in this area. This is mainly because users both in indexing and retrieval processes, tend to use old cases by associating images that reveal similar features. In this work, we present an application of our integrated approach to image indexing and retrieval. The underlying technique uses high-level features to find the most possible assignment to the presented image description. It applies fuzzy reasoning to convert the quantitative attributes into qualitative terms for indexing and retrieval. To facilitate the storage and retrieval, we adopted XML technology.