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Published in:
2010 | OriginalPaper | Chapter
Combining Semantic and Content Based Image Retrieval in ORDBMS
Authors : Carlos E. Alvez, Aldo R. Vecchietti
Published in: Knowledge-Based and Intelligent Information and Engineering Systems
Publisher: Springer Berlin Heidelberg
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In this article, an architecture for image retrieval in an Object-Relational Database Management System is proposed. It combines the use of low-level descriptors and semantic metadata for similarity search. The architecture has three levels: content-based, semantic data and an interface integrating them. Several database User Defined Types (UDT) and operations are defined for that purpose. A case study about vehicles is implemented and results obtained show an important improvement in image similarity search.