Mining Cultural Differences from a Large Number of Geotagged Photos

Presented at: 18th International World Wide Web Conference (WWW2009)

by Keiji Yanai, Bingyu Qiu

Webpage: http://www2009.eprints.org/167/1/p1173.pdf

We propose a novel method to detect cultural differences over the world automatically by using a large amount of geotagged images on the photo sharing Web sites such as Flickr. We employ the state-of-the-art object recognition technique developed in the research community of computer vision to mine representative photos of the given concept for representative local regions from a large-scale unorganized collection of consumer-generated geotagged photos. The results help us understand how objects, scenes or events corresponding to the same given concept are visually different depending on local regions over the world.

Keywords: Poster Session


Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2009/paper/167


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