An analysis of the relation between visual concepts and geo-locations using geotagged images on the web

Authors:
Hidetoshi Kawakubo;Keiji Yanai
Affiliations:
Department of Computer Science, The University of Electro-Communications, Tokyo, Japan;Department of Computer Science, The University of Electro-Communications, Tokyo, Japan
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

Recently, a large number of geotagged images are available on photo sharing Web sites such as Flickr. In this paper, we propose image region entropy and geo-location entropy for analyzing the relation between visual concepts and geographical locations using a large-scale geotagged image database. Image region entropy represents to what extent concepts have visual characteristics, while geo-location entropy represents to what extent concepts are distributed over the world. In the experiment, we analyzed relations between image region entropy and geo-location entropy in terms of 230 nouns and 100 adjectives, and we found that the concepts with low image entropy tend to have high geo-location entropy and vice versa.