BlueFinder: estimate where a beach photo was taken

  • Authors:
  • Liangliang Cao;John R. Smith;Zhen Wen;Zhijun Yin;Xin Jin;Jiawei Han

  • Affiliations:
  • IBM Watson Research Center, Hawthorne, NY, USA;IBM Watson Research Center, Hawthorne, NY, USA;IBM Watson Research Center, Hawthorne, NY, USA;University of Illinois at Urbana-Champaign, Urbana, IL, USA;University of Illinois at Urbana-Champaign, Urbana, IL, USA;University of Illinois at Urbana-Champaign, Urbana, IL, USA

  • Venue:
  • Proceedings of the 21st international conference companion on World Wide Web
  • Year:
  • 2012

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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.