document: Mining cultural differences from a large number of geotagged photos We propose a novel method to detect cultural differences over the world automatically by using a large amount of geotagged images on the photo sharingWeb 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 .
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