Shape feature matching for trademark image retrieval

被引：0

作者：

Eakins, JP ^{[1
]}

Riley, KJ ^{[1
]}

Edwards, JD ^{[1
]}

机构：

[1] Northumbria Univ, Sch Informat, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England

来源：

IMAGE AND VIDEO RETRIEVAL, PROCEEDINGS | 2003年 / 2728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：

Shape retrieval from image databases is a complex problem. This paper reports an investigation on the comparative effectiveness of a number of different shape features (including those included in the recent MPEG-7 standard) and matching techniques in the retrieval of multi-component trademark images. Experiments were conducted within the framework of the ARTISAN shape retrieval system, and retrieval effectiveness assessed on a database of over 10 000 images, using 24 queries and associated ground truth supplied by the UK Patent Office. Our results show clearly that multi-component matching can give better results than whole-image matching. However, only minor differences in retrieval effectiveness were found between different shape features or distance measures, suggesting that a wide variety of shape feature combinations and matching techniques can provide adequate discriminating power for effective retrieval.

引用

页码：28 / 38

页数：11