“Visualizing Attractive Periods of Popular Photo Spots Using Flickr Data” by Iwabuchi, Kumano, Koseki, Ono and Kimura
Conference:
Type:
Entry Number: 108
Title:
- Visualizing Attractive Periods of Popular Photo Spots Using Flickr Data
Presenter(s)/Author(s):
Abstract:
The popularity of cameras with GPS receivers and the emergence of photo-sharing websites such as Flickr have created enormous collections of photos that are annotated with GPS locations, time-stamps, photographers, etc. Thus, one can obtain a large number of observations of where and when people take photos. Since people tend to take photos when they meet visually interesting things on their sightseeing tours, attention has recently been devoted to constructing sightseeing guide systems that exploit the information revealed by the collective behavior of users in photo-sharing websites (see, e.g., [Lu et al. 2010]). Previous work [Crandall et al. 2009] discovered popular photo spots from a large number of geo-tagged photos, and visualized them with the found representative images on maps.
References:
1. Comaniciu, D., and Meer, P. 2002. Mean shift: a robust approach toward feature space analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 603–619.
2. Crandall, D., Backstrom, L., Huttenlocner, D., and Kleinberg, J. 2009. Mapping the world’s photos. In Proceedings of the 18th International World Wide Web Conference (WWW’09), 761–770.
3. Lu, X., Wang, C., Yang, J., Pang, Y., and Zhang, L. 2010. Photo2trip: generating travel routes from geo-tagged photos for trip planning. In Proc. of MM’10, 143–152.
