BlueFinder: Estimate where a beach photo was taken

Liangliang Cao, John Smith, Zhen Wen, Zhijun Yin, Xin Jin, Jiawei Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. Copyright is held by the author/owner(s).

Original languageEnglish (US)
Title of host publicationWWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
Pages469-470
Number of pages2
DOIs
StatePublished - May 21 2012
Event21st Annual Conference on World Wide Web, WWW'12 - Lyon, France
Duration: Apr 16 2012Apr 20 2012

Publication series

NameWWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion

Other

Other21st Annual Conference on World Wide Web, WWW'12
CountryFrance
CityLyon
Period4/16/124/20/12

Keywords

  • Beach photos
  • Geographical clustering
  • Geographical estimation

ASJC Scopus subject areas

  • Computer Networks and Communications

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