Smartphone Landmark Image Retrieval Based on Lucene and GPS

With continuous reduction of the cost of internet-enabled smartphones and recent advances in mobile computing, the demand for content based image retrieval tools used for landmark identification on smartphones is gaining interest. We have developed a system that allows users to take photos of famous landmarks using a smartphone and receive information of landmarks from the system. This landmark image retrieval system contains an android application as the fronted client and a backend web server. It is based on Lucene and takes advantage of GPS data. In this paper we propose our ideas, design and architecture of the system. We also propose an approach to use combined feature and GPS filtering to improve the accuracy of classifying images. The experimental results show that the accuracy of combined feature is higher than individual feature and the system works quickly and reliably.