Combining Semantic and Content Based Image Retrieval in ORDBMS

被引:0
|
作者
Alvez, Carlos E.
Vecchietti, Aldo R.
机构
关键词
content; semantic; image retrieval; ORDBMS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:44 / 53
页数:10
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