INGAR   05399
INSTITUTO DE DESARROLLO Y DISEÑO
Unidad Ejecutora - UE
capítulos de libros
Título:
Combining Semantic and Content Based Image Retrieval
Autor/es:
CARLOS ALVEZ; A. R. VECCHIETTI
Libro:
Lectures Notes in Artificial Intelligence
Editorial:
Springer Verlag
Referencias:
Año: 2010; p. 44 - 53
Resumen:
In this article, an architecture for image retrieval in an Object-Relational Database Management System is proposed. It combines the use oflow-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.