Combining Semantic and Content Based Image Retrieval in ORDBMS

被引：0
|
作者：
Alvez, Carlos E.
Vecchietti, Aldo R.
机构：
来源：
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT II | 2010年 / 6277卷
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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