Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Towards optimal bag-of-features for object categorization and semantic video retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
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
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
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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. In this work, we investigate the problem of geographic discovery, particularly land-use classification, through crowdsourcing of geographic information from Flickr's geotagged photo collections. Our results show that the visual information contained in these photo collections enables us to classify three types of land-use classes on two university campuses. We also show that text entries accompanying these photos are informative for geographic discovery.