Study on Image Retrieval Based on Active Feedback

被引：0
|
作者：
Geng Kun [1 ]
机构：
[1] Tianjin Vocat Inst, Sch Elect & Informat Engn, Tianjin 300410, Peoples R China
来源：
ENERGY AND POWER TECHNOLOGY, PTS 1 AND 2 | 2013年 / 805-806卷
关键词：
Image Retrieval; Active Feedback; Retrieval Method;
D O I：
10.4028/www.scientific.net/AMR.805-806.1891
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Content-based image retrieval, limiting its functionality and semantics. In order to study a new method, this study, with the representative image for more information on user feedback, positive feedback framework proposes two new components called the representative image selection and label propagation. A very large image acquisition experimental result demonstrates the high electiveness positive feedback framework proposal.
引用
收藏
页码：1891 / 1894
页数：4
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