Hierarchical photo organization using geo-relevance
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Efficiently locating photographs in many panoramas
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
A method of Area of Interest and Shooting Spot Detection using Geo-tagged Photographs
Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place
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Social media sites include many photos taken at various locations and times. In this paper, we propose a method to discover multiple hotspots, where many photos have been taken, using geo-tagging photos posted on social media sites. Additionally, we infer the range and shape of hotspots based on the deviation of the places where photos have been taken. We conducted experiments using image search results when we entered the search term "Rome" on Flickr. Our experimentally obtained results demonstrate that it is possible to discover multiple hotspots and to estimate the range and shape of each hotspot with high precision.