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Exploring City Structure from Georeferenced Photos Using Graph Centrality Measures
Fraunhofer Institute IAIS, Sankt Augustin, Germany.ORCID iD: 0000-0003-4761-8601
Fraunhofer Institute IAIS, Sankt Augustin, Germany.
Fraunhofer Institute IAIS, Sankt Augustin, Germany.
San Diego State University, CA, USA.
2011 (English)In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III / [ed] Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis, Springer, 2011, 654-657 p.Chapter in book (Refereed)
Abstract [en]

We explore the potential of applying graph theory measures of centrality to the network of movements extracted from sequences of georeferenced photo captures in order to identify interesting places and explore city structure. We adopt a systematic procedure composed of a series of stages involving the combination of computational methods and interactive visual analytics techniques. The approach is demonstrated using a collection of Flickr photos from the Seattle metropolitan area.

Place, publisher, year, edition, pages
Springer, 2011. 654-657 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 6913
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-78867DOI: 10.1007/978-3-642-23808-6_50ISBN: 978-3-642-23807-9ISBN: e-978-3-642-23808-6OAI: diva2:536291
Available from: 2012-06-21 Created: 2012-06-21 Last updated: 2015-06-02

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Vrotsou, Katerina
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ReferencesLink to record
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