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Content-based image retrieval system using neural network

被引：0
|
作者：
Karamti, Hanen [1 ]
Tmar, Mohamed [1 ]
Gargouri, Faiez [1 ]
机构：
[1] Univ Sfax, City Ons Sfax, MIRACL Lab, BP 3023, Sfax, Tunisia
来源：
2014 IEEE/ACS 11TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | 2014年
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Visual information retrieval has become a major research area due to increasing rate at which images are generated in many application. This paper addresses an important problems related to the content-based images retrieval. It concerns the vector representation of images and its proper use in image retrieval. Indeed, we propose a new model of content-based image retrieval allowing to integrate theories of neural network on a vector space model, where each low level query can be transformed into a score vector. Preliminary results obtained show that our proposed model is effective in a comparative study on two dataset Corel and Caltech-UCSD.
引用
收藏
页码：723 / 728
页数：6
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