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Detecting cultural differences using consumer-generated geotagged photos
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Source LOCWEB; Vol. 370 archive
Proceedings of the 2nd International Workshop on Location and the Web table of contents
Boston, Massachusetts
Article No. 12  
Year of Publication: 2009
ISBN:978-1-60558-457-7
Authors
Keiji Yanai  The University of Electro-Communications, Chofu, Tokyo, Japan
Keita Yaegashi  The University of Electro-Communications, Chofu, Tokyo, Japan
Bingyu Qiu  Beijing University of Posts and Technology, Beijing, China
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Keiji Yanai: colleagues
Keita Yaegashi: colleagues
Bingyu Qiu: colleagues