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A Fuzzy Object Query Language (FOQL) for Image Databases
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Surya Nepal,
M.V. Ramakrishna, and
James A. Thom
View Paper (PDF)
Return to Session 2B: Visualization and Multimedia Databases
Content based retrieval systems have
been developed for querying image data in which the users can pose queries based
on visual properties such as color and texture. These systems, which have advanced
the state of the art in image database systems, remarkably lack formal query
languages. The traditional query languages are unable to capture the inherent
fuzzy nature of the image data and content based querying. The fuzzy object
query language (FOQL) presented in this paper addresses the need to support
fuzzy values and fuzzy collections required for image databases. It can be used
for defining schemas and high level concepts, and for querying image databases.
It
captures the inherent fuzzy nature of content based retrieval by keeping the
query results fuzzy as against other query languages. The users can
interactively refine their queries and high level concept definitions using recursive
and named query definition constructs in FOQL. Being an extension of ODMG-OQL,
FOQL can be easily mapped to ODMG-compliant visual query languages.
Copyright(C) 2000 ACM
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