Powerful image organization in visual retrieval systems
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Association and Content-Based Retrieval
IEEE Transactions on Knowledge and Data Engineering
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We present a query by content system in an image database system. The query is based on both visual content, such as color, texture, location, shape, and textual description of images. Moreover, we propose a concept-based query approach that enables the user to express his queries with more semantics. The concept-based query provides an interesting technique for the user to incorporate domain knowledge into their queries. This incorporation overcomes the problem of incomplete knowledge in most knowledge-based systems. The domain knowledge may be stored in the database with no special effort from the designer, and the user may reuse his own concepts in next queries.