Abstract—In recent years, many of the latest smartphones or mobile devices currently in the market come with built-in cameras and GPS systems. These devices can geotag and store critical geo-information along with the photos. This crucial metadata information will be used in the development for an algorithm that will identify the relationship between geotagged images and facilities (buildings). The development of this technology generates massive amounts of geo-data which could be very helpful to public and authorities on large campuses or cities. This research proposes methods to mine and construct the relationship between polygon points of buildings and the geo-information on huge sets of images, and then determine whether these buildings could be shown on the pictures or not. In order to test the methods, many geotagged images will be taken throughout the Kean University campus.
Index Terms—Geotagging, latitude, longitude, orientation, augmented reality.
Ching-Yu Huang is with the Department of Computer Science, Kean University, USA (e-mail: hcy100@gmail.com).
Henry Choque is with Costume Supercenter in Edison, New Jersey, USA.
Brany Suero Benitez is with New Jersey Institute of Technology, USA.
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Cite:Ching-Yu Huang, Henry Choque, and Brany Suero Benitez, "Mining the Relationship between Geotagged Images and Facilities," International Journal of Information and Electronics Engineering vol. 6, no. 3, pp. 202-205, 2016.
