Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
Research and applications on georeferenced multimedia: a survey
Multimedia Tools and Applications
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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.