Liangliang Cao
John R. Smith
Jiawei Han
ABSTRACT
This paper describes a system to estimate geographical locations for beach photos. We develop an iterative method that not only trains visual classifiers but also discovers geographical clusters for beach regions. The results show that it is possible to recognize different beaches using visual information with reasonable accuracy, and our system works 27 times better than random guess for the geographical localization task.
- L. Cao, J. Yu, J. Luo, and T. Huang. Enhancing semantic and geographic annotation of web images via logistic canonical correlation regression. In ACM Multimedia, 2009. Google Scholar
Digital Library
- D. J. Crandall, L. Backstrom, D. P. Huttenlocher, and J. M. Kleinberg. Mapping the world's photos. WWW, 2009. Google ScholarDigital Library
- J. Hays and A. A. Efros. IM2PGS: estimating geographic information from a single image. In CVPR, 2008.Google ScholarCross Ref
Index Terms
- BlueFinder: estimate where a beach photo was taken
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