Journal of Advanced Computational Intelligence and Intelligent Informatics
Online ISSN : 1883-8014
Print ISSN : 1343-0130
ISSN-L : 1883-8014
Special Issue on Mobile Multimedia Big Data Embedded Systems: Part I
Rapid Feature Retrieval Method in Large-Scale Image Database
Fei Gao
Author information
JOURNAL OPEN ACCESS

2018 Volume 22 Issue 7 Pages 1088-1092

Details
Abstract

The retrieval of features in a large-scale image database can improve the degree of visualization of images. The conventional method of feature-retrieval is a time-consuming process because it retrieves by searching the keywords. In this paper, a rapid feature retrieval method based on granular computing is proposed for use in a large-scale image database. In this method, we first collect and process the images from the database. Next, we construct a binary tree to realize the multi-class classification of the image features and complete the feature retrieval using support vector machines. The experimental results demonstrate that the proposed method can effectively retrieve the features in the large-scale image database. The effectiveness of retrieval can reach more than 95%.

Content from these authors

This article cannot obtain the latest cited-by information.

© 2018 Fuji Technology Press Ltd.

This article is licensed under a Creative Commons [Attribution-NoDerivatives 4.0 International] license (https://creativecommons.org/licenses/by-nd/4.0/).
The journal is fully Open Access under Creative Commons licenses and all articles are free to access at JACIII Official Site.
https://www.fujipress.jp/jaciii/jc-about/
Previous article Next article
feedback
Top