Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Generating summaries and visualization for large collections of geo-referenced photographs
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
World-scale mining of objects and events from community photo collections
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
A theoretical grounding for semantic descriptions of place
W2GIS'07 Proceedings of the 7th international conference on Web and wireless geographical information systems
Second International Workshop on Location and the Web (LocWeb 2009)
Proceedings of the 2nd International Workshop on Location and the Web
Location and the web: (LocWeb 2009)
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Research and applications on georeferenced multimedia: a survey
Multimedia Tools and Applications
Geotagging in multimedia and computer vision--a survey
Multimedia Tools and Applications
IM2MAP: deriving maps from georeferenced community contributed photo collections
WSM '11 Proceedings of the 3rd ACM SIGMM international workshop on Social media
Exploring Geotagged images for land-use classification
Proceedings of the ACM multimedia 2012 workshop on Geotagging and its applications in multimedia
On the quest of discovering cultural trails in social media
Proceedings of the sixth ACM international conference on Web search and data mining
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
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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 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.