A sound algorithm for region-based image retrieval using an index

被引：11

作者：

Bartolini, I ^{[1
]}

Ciaccia, P ^{[1
]}

Patella, M ^{[1
]}

机构：

[1] Univ Bologna, CNR, CSITE, DEIS, Bologna, Italy

来源：

11TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATION, PROCEEDINGS | 2000年

关键词：

D O I：

10.1109/DEXA.2000.875137

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Region-based image retrieval systems aim to improve the effectiveness of content-based search by decomposing each image into a set of "homogeneous" regions. Thus, similarity between images is assessed by computing similarity between pairs of regions and then combining the results at the image level. In this paper we propose the first provably sound algorithm for performing region-based similarity search when regions are accessed through an index. Experimental results demonstrate the effectiveness of our approach, as also compared to alternative retrieval strategies.

引用

页码：930 / 934

页数：5

共 12 条

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