World-scale mining of objects and events from community photo collections
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Digital Footprinting: Uncovering Tourists with User-Generated Content
IEEE Pervasive Computing
Proceedings of the 18th international conference on World wide web
Tour the world: a technical demonstration of a web-scale landmark recognition engine
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Event detection from flickr data through wavelet-based spatial analysis
Proceedings of the 18th ACM conference on Information and knowledge management
Mining tourist information from user-supplied collections
Proceedings of the 18th ACM conference on Information and knowledge management
Constructing travel itineraries from tagged geo-temporal breadcrumbs
Proceedings of the 19th international conference on World wide web
Antourage: mining distance-constrained trips from flickr
Proceedings of the 19th international conference on World wide web
ClustTour: city exploration by use of hybrid photo clustering
Proceedings of the international conference on Multimedia
SocialSensor: sensing user generated input for improved media discovery and experience
Proceedings of the 21st international conference companion on World Wide Web
Cluster-based photo browsing and tagging on the go
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Journal of Visual Communication and Image Representation
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We present a technical demonstration of an online city exploration application that helps users identify interesting spots in a city by use of spatio-temporal analysis and clustering of user contributed photos. Our framework analyzes the spatial distribution of large city-centered collections of user contributed photos at different time scales in order to index the most popular spots of a city in a time-aware manner. Subsequently, the photo sets belonging to the same spatiotemporal context are clustered in order to extract representative photos for each spot. The resulting application enables users to obtain flexible summaries of the most important spots in a city given a temporal slice (time of the day, month, season). The demonstration will be based on a photo dataset covering major European cities.