Research on Related Technology of Content-Based Image Retrieval

被引：0
|
作者：
Dong, Yubing [1 ]
Li, Mingjing [1 ]
Li, Baichuan
机构：
[1] Changchun Univ, Coll Elect & Informat Engn, Changchun 130022, Peoples R China
来源：
RENEWABLE ENERGY AND ENVIRONMENTAL TECHNOLOGY, PTS 1-6 | 2014年 / 448-453卷
关键词：
image retrieval; relevance feedback; feature extraction; image database;
D O I：
10.4028/www.scientific.net/AMM.448-453.3616
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 (CBIR) system existed a gap between high-level concepts and low-level features. As an effective solution, the Relevance Feedback (RF) technique has been used on many CBIR. systems to improve the retrieval precision. In order to further improve convergence speed and retrieval accuracy, a novel relevance feedback method was proposed. According to feedback from user, image feature was weighted and adjusted in the novel method.
引用
收藏
页码：3616 / 3620
页数：5
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