Detecting Cultural Differences using Consumer-Generated Geotagged Photos

Keiji Yanai, Keita Yaegashi, Bingyu Qiu


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.


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