Similarity-based image retrieval by self-organizing map with refractoriness

被引:0
|
作者
Nagashima, Kouhei [1 ]
Nakada, Masao [1 ]
Osana, Yuko [1 ]
机构
[1] Tokyo Univ Technol, Tokyo 1920982, Japan
来源
2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6 | 2007年
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
In this research, we proposed a similarity-based image retrieval by self-organizing map with refractoriness. In the self-organizing map with refractoriness, the plural neurons in the Map Layer corresponding to the input can fire sequentially because of the refractoriness. The image retrieval system using the self-organizing map with refractoriness makes use of this property in order to retrieve plural similar images. In this image retrieval system, as the image feature, not only color information but also spectrum, impression words and key words are employed. We carried out a series of computer experiments and confirmed that the effectiveness of the proposed system.
引用
收藏
页码:2646 / 2651
页数:6
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