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 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. Categories and Subject Descriptors: H.3.3 Information Search and Retrieval: Miscellaneous General Terms: Algorithms, Experimentation, Measurement

• Type: Conference
• Year: 2009
• Where: WWW
• Authors: Keiji Yanai, Bingyu Qiu
• Keywords: Internet Technology, Large-scale Unorganized Collection, Local Regions, Representative Local Regions, WWW 2009