TY  - CONF
ID  - www200977
UR  - http://www2009.eprints.org/77/
A1  - Crandall, David
A1  - Backstrom, Lars
A1  - Huttenlocher, Daniel
A1  - Kleinberg, Jon
Y1  - 2009/04//
N2  - We investigate how to organize a large collection of geotagged photos, working with a dataset of about 35 million images collected from Flickr. Our approach combines content analysis based on text tags and image data with structural analysis based on geospatial data. We use the spatial distribution of where people take photos to de?ne a relational structure between the photos that are taken at popular places. We then study the interplay between this structure and the content, using classi?cation methods for predicting such locations from visual, textual and temporal features of the photos. We ?nd that visual and temporal features improve the ability to estimate the location of a photo, compared to using just textual features. We illustrate using these techniques to organize a large photo collection, while also revealing various interesting properties about popular cities and landmarks at a global scale.
TI  - Mapping the World's Photos
SP  - 761
M2  - Madrid, Spain
AV  - public
EP  - 761
T2  - 18th International World Wide Web Conference
ER  -