Geospatial street-view retrieval methodology using geo-tagged photos

Hirotaka Endo, Hiroshi Itaya, Masafumi Nakagawa

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

1 Citation (Scopus)

Abstract

Recently, a generation of photo datasets becomes easier on internet and cloud services. However, conventional point based photo retrieval would be often irritable for users in a disaster monitoring and construction management. Therefore, an assistance of photo retrieval is required to improve efficiency in the monitoring and guidance. In this study, we focus on an improvement of photo browsing using geo-tag such as camera position and azimuth data taken from GPS and digital compasses mounted on a camera. Moreover, we have focused on a clustering of geo-tagged photos based on reverse-geocoding with a context such as "walking along a street". We conducted an experiment using 590 geo-tagged photos taken from a GPS camera with a digital compass. Then, we have confirmed that our algorithm can perform geospatial retrieval for a street-view photo browsing with the context.

Original languageEnglish
Title of host publication33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Pages696-703
Number of pages8
Publication statusPublished - 2012 Dec 1
Event33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand
Duration: 2012 Nov 262012 Nov 30

Publication series

Name33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Volume1

Conference

Conference33rd Asian Conference on Remote Sensing 2012, ACRS 2012
CountryThailand
CityPattaya
Period12/11/2612/11/30

Keywords

  • Context-awareness
  • Geo-tagged photos
  • Photo retrieval
  • Point of interest
  • Reverse-geocoding

ASJC Scopus subject areas

  • Information Systems

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  • Cite this

    Endo, H., Itaya, H., & Nakagawa, M. (2012). Geospatial street-view retrieval methodology using geo-tagged photos. In 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 (pp. 696-703). (33rd Asian Conference on Remote Sensing 2012, ACRS 2012; Vol. 1).