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
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 15th international conference on Multimedia
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Modelling spatio-temporal movement of tourists using finite Markov chains
Mathematics and Computers in Simulation
Mining interesting locations and travel sequences from GPS trajectories
Proceedings of the 18th international conference on World wide web
MM '09 Proceedings of the 17th ACM international conference on Multimedia
A visual analysis of the relationship between word concepts and geographical locations
Proceedings of the ACM International Conference on Image and Video Retrieval
Research and applications on georeferenced multimedia: a survey
Multimedia Tools and Applications
Mining Travel Patterns from Geotagged Photos
ACM Transactions on Intelligent Systems and Technology (TIST)
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The phenomenal advances of photo-sharing services, such as Flickr™, have led to voluminous community-contributed photos with socially generated textual, temporal and geographical metadata on the Internet. The photos, together with their time- and geo-references, implicitly document the photographers' spatiotemporal movement paths. This study aims to leverage the wealth of these enriched online photos to analyze the people's travel pattern at the local level of a tour destination. First, from a noisy pool of GPS-tagged photos downloaded from Internet, we build a statistically reliable database of travel paths, and mine a list of regions of attraction (RoA). We then investigate the tourist traffic flow among different RoAs, by exploiting Markov chain model. Testings on four major cities demonstrate promising results of the proposed system.