Query-by-sketch interactive image retrieval using rough sets

被引:0
作者
Hisamori, Takashi [1 ]
Ohashi, Gosuke [1 ]
机构
[1] Shizuoka Univ, Dept Elect & Elect Engn, Naka Ku, Shizuoka 4328561, Japan
来源
2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8 | 2007年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The present paper describes a query-by-sketch image retrieval system aimed at reducing the semantic gap between low-level features and high-level semantics by adopting relevance feedback. To reduce the semantic gap in this content-based image retrieval system, user sketches play an important role in relevance feedback. When users mark similar images of output images with "relevant" labels, these "relevant" images are relevant to the sketch image in feedback. On the other hand, when users mark dissimilar images of output images with "irrelevant" labels, these "irrelevant" images are irrelevant to the sketch image in feedback. However, in the method the effect of the feedback has been limited by the images with "relevant" and "irrelevant" labels. The purpose of the present paper is to expand the effect on other images, using query-by-sketch retrieval and rough sets. The proposed method is applied to 7,500 images in Corel Photo Gallery. Experimental results show that the proposed method is effective in retrieving images.
引用
收藏
页码:504 / 510
页数:7
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