Detecting Cultural Differences using Consumer-Generated Geotagged Photos. Yanai, K., Yaegashi, K., & Qiu, B. In pages 40-43. doi abstract bibtex 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.
@inproceedings{ yan09,
crossref = {locweb2009},
author = {Keiji Yanai and Keita Yaegashi and Bingyu Qiu},
title = {Detecting Cultural Differences using Consumer-Generated Geotagged Photos},
pages = {40-43},
doi = {10.1145/1507136.1507148},
uri = {http://portal.acm.org/citation.cfm?id=1507136.1507148},
abstract = {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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