Behavior Identification Based on Geotagged Photo Data Set
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 l...
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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/616030 |
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author | Guo-qi Liu Yi-jia Zhang Ying-mao Fu Ying Liu |
author_facet | Guo-qi Liu Yi-jia Zhang Ying-mao Fu Ying Liu |
author_sort | Guo-qi Liu |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-eca81d6bf17641119f4a446fdf4eed98 |
institution | Kabale University |
issn | 2356-6140 1537-744X |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | The Scientific World Journal |
spelling | doaj-art-eca81d6bf17641119f4a446fdf4eed982025-02-03T05:47:56ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/616030616030Behavior Identification Based on Geotagged Photo Data SetGuo-qi Liu0Yi-jia Zhang1Ying-mao Fu2Ying Liu3Software College, Northeastern University, Shenyang 110819, ChinaSoftware College, Northeastern University, Shenyang 110819, ChinaSoftware College, Northeastern University, Shenyang 110819, ChinaSoftware College, Northeastern University, Shenyang 110819, ChinaThe 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.http://dx.doi.org/10.1155/2014/616030 |
spellingShingle | Guo-qi Liu Yi-jia Zhang Ying-mao Fu Ying Liu Behavior Identification Based on Geotagged Photo Data Set The Scientific World Journal |
title | Behavior Identification Based on Geotagged Photo Data Set |
title_full | Behavior Identification Based on Geotagged Photo Data Set |
title_fullStr | Behavior Identification Based on Geotagged Photo Data Set |
title_full_unstemmed | Behavior Identification Based on Geotagged Photo Data Set |
title_short | Behavior Identification Based on Geotagged Photo Data Set |
title_sort | behavior identification based on geotagged photo data set |
url | http://dx.doi.org/10.1155/2014/616030 |
work_keys_str_mv | AT guoqiliu behavioridentificationbasedongeotaggedphotodataset AT yijiazhang behavioridentificationbasedongeotaggedphotodataset AT yingmaofu behavioridentificationbasedongeotaggedphotodataset AT yingliu behavioridentificationbasedongeotaggedphotodataset |