Color Image Retrieval Based on the Hypergraph and the Fusion of two Descriptors

被引：0

作者：

Yu, Suliang ^{[1
]}

Niu, Dongmei ^{[1
]}

Zhao, Xiuyang ^{[1
]}

Liu, Mingjun ^{[1
]}

机构：

[1] Univ Jinan, Sch Informat Sci & Engn, Jinan 250022, Shandong, Peoples R China

来源：

2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI) | 2017年

基金：

中国国家自然科学基金;

关键词：

image retrieval; hypergraph; fusion framework; FEATURES;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Recent years, the efficiency and accuracy of content based on image retrieval (CBIR) are two research directions. In order to improve retrieval precision, firstly, we use a fusion framework, combined with Color Difference Histogram (CDH) and Micro-structure Descriptor (MSD) which are two kinds of image descriptors to calculate distances between all images and transform the distances between images into similarities. Then we utilize the similarities to construct a similarity matrix. Secondly, by using the similarity matrix, we construct a hypergraph, the hypergraph combined with relevance feedback technique is exploited to rank images and get similar images. Extensive experiments are carried out on the Corel-5K dataset and get a very good performance.

引用

页数：6

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