An image retrieval algorithm using multiple query images

被引：6

作者：

Tang, J ^{[1
]}

Acton, S ^{[1
]}

机构：

[1] Univ Virginia, Dept Elect & Comp Engn, Charlottesville, VA 22904 USA

来源：

SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 1, PROCEEDINGS | 2003年

关键词：

D O I：

10.1109/ISSPA.2003.1224673

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, an image retrieval algorithm using multiple query images is proposed. The algorithm is based on multi-histogram intersection techniques. For each query image, a color histogram and a texture histogram are extracted. Then multi-histogram intersection is used to measure the similarity between the query images and each image in the database. The ranking in similarity is used to determine the images to be retrieved. This approach can be applied to image retrieval with relevance feedback and to component based image retrieval. Results are provided showing the improvement in precision that is afforded by the multi-example retrieval paradigm.

引用

页码：193 / 196

页数：4

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