A fuzzy database-query language
Information Systems
Combining fuzzy information from multiple systems (extended abstract)
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Object Database Standard: ODMG-93, Release 1.2
Object Database Standard: ODMG-93, Release 1.2
The Knowledge-Based Object-Oriented PICQUERY+ Language
IEEE Transactions on Knowledge and Data Engineering
Incorporating User Preferences in Multimedia Queries
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Towards an ODMG-Compliant Visual Object Query Language
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Similarity Queries in Image Databases
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Design of an SHD-Distributed Database over IP to Support Telemedicine
Journal of Medical Systems
Fuzzy Content-Based Retrieval in Image Databases
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
Imprecision and User Preferences in Multimedia Queries: A Generic Algebraic Approach
FoIKS '00 Proceedings of the First International Symposium on Foundations of Information and Knowledge Systems
Multiple Example Queries in Content-Based Image Retrieval
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
Ontological inference for image and video analysis
Machine Vision and Applications
An intelligent fuzzy object-oriented database framework for video database applications
Fuzzy Sets and Systems
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Advances in fuzzy temporal relational databases: a review
WSEAS Transactions on Information Science and Applications
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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.