VIRMA: Visual Image Retrieval by shape MAtching

被引：0
|
作者：
Castellano, G. [1 ]
Castiello, C. [1 ]
Fanelli, A. M. [1 ]
机构：
[1] Univ Bari, Dept Comp Sci, I-70126 Bari, Italy
来源：
FOUNDATIONS OF INTELLIGENT SYSTEMS, PROCEEDINGS | 2006年 / 4203卷
关键词：
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：
The huge amount of image collections connected to multimedia applications has brought forth several approaches to content-based image retrieval, that means retrieving images based on their visual content instead of textual descriptions. In this paper, we present a system, called VIRMA (Visual Image Retrieval by Shape MAtching), which combines different techniques from Computer Vision to perform content-based image retrieval based on shape matching. The architecture of the VIRMA system is portrayed and algorithms underpinning the developed prototype are briefly described. Application of VIRMA to a database of real-world pictorial images shows its effectiveness in visual image retrieval.
引用
收藏
页码：208 / 217
页数：10
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