• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A novel route restoring method upon geo-tagged photos

Vol. 7, No.5, May 31, 2013
10.3837/tiis.2013.05.017, Download Paper (Free):

Abstract

Sharing geo-tagged photos has been a hot social activity in the daily life because these photos not only contain geo information but also indicate people’s hobbies, intention and mobility patterns. However, the present raw geo-tagged photo routes cannot provide information as enough as complete GPS trajectories due to the defects hidden in them. This paper mainly aims at analyzing the large amounts of geo-tagged photos and proposing a novel travel route restoring method. In our approach we first propose an Interest Measure Ratio to rank the hot spots based on density-based spatial clustering arithmetic. Then we apply the Hidden Semi- Markov model and Mean Value method to demonstrate migration discipline in the hot spots and restore the significant region sequence into complete GPS trajectory. At the end of the paper, a novel experiment method is designed to demonstrate that the approach is feasible in restoring route, and there is a good performance.


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Cite this article

[IEEE Style]
Guannan Wang, Zhizhong Wang, Zhenmin Zhu and Saiping Wen, "A novel route restoring method upon geo-tagged photos," KSII Transactions on Internet and Information Systems, vol. 7, no. 5, pp. 1236-1251, 2013. DOI: 10.3837/tiis.2013.05.017

[ACM Style]
Wang, G., Wang, Z., Zhu, Z., and Wen, S. 2013. A novel route restoring method upon geo-tagged photos. KSII Transactions on Internet and Information Systems, 7, 5, (2013), 1236-1251. DOI: 10.3837/tiis.2013.05.017