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

页码：208 / 217

页数：10

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