Content-Based Image Retrieval base on Relevance Feedback

被引：1
|
作者：
Wen, Haixin [1 ]
Zhan, Yinwei [1 ]
机构：
[1] Guangdong Univ Technol, Sch Comp, Guangzhou, Guangdong, Peoples R China
来源：
GREEN ENERGY AND SUSTAINABLE DEVELOPMENT I | 2017年 / 1864卷
关键词：
D O I：
10.1063/1.4992856
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In order to reduce the "semantic gap" between the underlying features and the high-level semantics in the image retrieval, the feature re-weighted correlation feedback mechanism is applied. The basic idea is to reduce the weight of the irrelevant feature dimension in the feature space and increase the weight of the relevant feature dimension. The improved method of feature weight adjustment proposed in this paper is compared with another method. The accuracy of the algorithm is proved by the experiment as the criterion of the evaluation effect.
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页数：4
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