Combining semantic and content based image retrieval in ORDBMS

Authors:
Carlos E. Alvez;Aldo R. Vecchietti
Affiliations:
Facultad de Ciencias de la Administración, Universidad Nacional de Entre Ríos;INGAR, UTN, Facultad Regional Santa Fe
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Year:
2010

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Abstract

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.