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The Scientific World Journal
Volume 2014, Article ID 616030, 6 pages
Research Article

Behavior Identification Based on Geotagged Photo Data Set

Software College, Northeastern University, Shenyang 110819, China

Received 6 December 2013; Accepted 22 January 2014; Published 24 February 2014

Academic Editors: Y. Cai and J. Zhang

Copyright © 2014 Guo-qi Liu et al. 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.


The popularity of mobile devices has produced a set of image data with geographic information, time information, and text description information, which is called geotagged photo data set. The division of this kind of data by its behavior and the location not only can identify the user’s important location and daily behavior, but also helps users to sort the huge image data. This paper proposes a method to build an index based on multiple classification result, which can divide the data set multiple times and distribute labels to the data to build index according to the estimated probability of classification results in order to accomplish the identification of users’ important location and daily behaviors. This paper collects 1400 discrete sets of data as experimental data to verify the method proposed in this paper. The result of the experiment shows that the index and actual tagging results have a high inosculation.