Attention-based similarity

被引：15
|
作者：
Stentiford, Fred
机构：
[1] Martlesham Heath, Ipswich, Suffolk IP5 3RE, UCL Adastral Park Campus
来源：
PATTERN RECOGNITION | 2007年 / 40卷 / 03期
关键词：
visual attention; similarity; shape; image retrieval; CBIRu;
D O I：
10.1016/j.patcog.2006.05.014
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A similarity measure is described that does not require the prior specification of features or the need for training sets of representative data. Instead large numbers of features are generated as part of the similarity calculation and the extent to which features can be found to be common to pairs of patterns determines the measure of their similarity. Emphasis is given to salient image regions in this process and it is shown that the parameters of invariant transforms may be extracted from the statistics of matching features and used to focus the similarity calculation. Some results are shown on MPEG-7 shape data and discussed in the paper. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：771 / 783
页数：13
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