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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 684615, 7 pages
http://dx.doi.org/10.1155/2013/684615
Research Article

Content-Based Image Retrial Based on Hadoop

School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510000, China

Received 9 July 2013; Accepted 22 August 2013

Academic Editor: Ming Li

Copyright © 2013 DongSheng Yin and DeBo Liu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Generally, time complexity of algorithms for content-based image retrial is extremely high. In order to retrieve images on large-scale databases efficiently, a new way for retrieving based on Hadoop distributed framework is proposed. Firstly, a database of images features is built by using Speeded Up Robust Features algorithm and Locality-Sensitive Hashing and then perform the search on Hadoop platform in a parallel way specially designed. Considerable experimental results show that it is able to retrieve images based on content on large-scale cluster and image sets effectively.