Towards automatic extraction of event and place semantics from flickr tags
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Event detection from flickr data through wavelet-based spatial analysis
Proceedings of the 18th ACM conference on Information and knowledge management
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
Beyond GPS: determining the camera viewing direction of a geotagged image
Proceedings of the international conference on Multimedia
Research and applications on georeferenced multimedia: a survey
Multimedia Tools and Applications
Social event detection and retrieval in collaborative photo collections
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Proceedings of the 20th ACM international conference on Multimedia
Latent geographic feature extraction from social media
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Discovering multiple HotSpots using geo-tagged photographs
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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Social media sites include many photographs taken at various locations and times. As described herein, we propose a method to identify hotspots to visualize user interest using geo-tagging of photographs posted on social media sites. Hotspots are classifiable to two types based on its locations: area of interest or shooting spot. In some cases, a hotspot has relation to other hotspots. We extract and classify hotspots according to that relation based on the bias of photograph location and photograph orientation. Moreover, we classify whether an event happened or did not happen in extracted hotspots.