Content-based image retrieval speedup

被引:2
作者
Fadaei, Sadegh [1 ]
Rashno, Abdolreza [2 ]
Rashno, Elyas [3 ]
机构
[1] Univ Yasuj, Fac Engn, Dept Elect Engn, Yasuj, Iran
[2] Lorestan Univ, Engn Fac, Dept Comp Engn, Khorramabad, Iran
[3] Iran Univ Sci & Technol, Dept Comp Engn, Tehran, Iran
来源
2019 5TH IRANIAN CONFERENCE ON SIGNAL PROCESSING AND INTELLIGENT SYSTEMS (ICSPIS 2019) | 2019年
关键词
Content-based image retrieval; Zernike Moments; Speed up; OPTIMIZATION;
D O I
10.1109/icspis48872.2019.9066132
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Content-based image retrieval (CBIR) is a task of retrieving images from their contents. Since retrieval process is a time-consuming task in large image databases, acceleration methods can be very useful. This paper presents a novel method to speed up CBIR systems. In the proposed method, first Zernike moments are extracted from query image and an interval is calculated for that query. Images in database which are out of the interval are ignored in retrieval process. Therefore, a database reduction occurs before retrieval which leads to speed up. It is shown that in reduced database, relevant images to query image are preserved and irrelevant images are throwed away. Therefore, the proposed method speed up retrieval process and preserve CBIR accuracy, simultaneously.
引用
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页数:5
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