TY  - CONF
ID  - www2009167
UR  - http://www2009.eprints.org/167/
A1  - Yanai, Keiji
A1  - Qiu, Bingyu
Y1  - 2009/04//
N2  - 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. 
TI  - Mining Cultural Differences from a Large Number of Geotagged Photos
SP  - 1173
M2  - Madrid, Spain
AV  - public
EP  - 1173
T2  - 18th International World Wide Web Conference
ER  -