ACM SIGGRAPH 2005 Papers
Toward Category-Level Object Recognition (Lecture Notes in Computer Science)
Toward Category-Level Object Recognition (Lecture Notes in Computer Science)
Detecting cultural differences using consumer-generated geotagged photos
Proceedings of the 2nd International Workshop on Location and the Web
Proceedings of the 18th international conference on World wide web
Proximate sensing using georeferenced community contributed photo collections
Proceedings of the 2009 International Workshop on Location Based Social Networks
Comparing the spatial characteristics of corresponding cyber and physical communities: a case study
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
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On-line photo sharing websites such as Flickr not only allow users to share their precious memories with others, they also act as a repository of all kinds of information carried by their photos and tags. The objective of this work is to perform geographic knowledge discovery by crowdsourcing of geographic information from Flickr's geo-referenced photo collections. In particular, we explore the idea of extracting geographic information semantically for land-use classification by applying state-of-the art object and concept detectors directly to the photo collections. Our results suggest that even though the detectors are able to produce distinctive spatial distributions of different objects, performing land-use classification using user contributed geo-referenced photos remains a challenging problem due to the wide variety of photos available in the collections.