This item is a Paper in the Social Networks and Web 2.0 track.
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 deﬁne a relational structure between the photos that are taken at popular places. We then study the interplay between this structure and the content, using classiﬁcation methods for predicting such locations from visual, textual and temporal features of the photos. We ﬁnd 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.
Fun web stuff for this record
- RKBExplorer (from linked data workshop)
- URI: http://eprints.rkbexplorer.com/id/www2009/eprints-77
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This website has been set up for WWW2009 by Christopher Gutteridge of the University of Southampton, using our EPrints software.
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We (Southampton EPrints Project) intend to preserve the files and HTML pages of this site for many years, however we will turn it into flat files for long term preservation. This means that at some point in the months after the conference the search, metadata-export, JSON interface, OAI etc. will be disabled as we "fossilize" the site. Please plan accordingly. Feel free to ask nicely for us to keep the dynamic site online longer if there's a rally good (or cool) use for it...
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These are not directly related to the EPrints set up, but may be of use to delegates.
- Social tool links
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