Geospatial photo retrieval for ground-based disaster monitoring

Hirotaka Endo, Shinya Hattori, Konosuke Kataoka, Daichi Aihara, Masafumi Nakagawa

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

Abstract

Recently, a cloud-storage service provides a large amount of geotagged photos. However, conventional point-based photo retrieval is inefficient to find significant photos in some operations, such as a disaster monitoring from a large amount of photos. Therefore, photo retrieval is required to improve the efficiency in the disaster monitoring. We focus on azimuth data taken from digital compasses to improve a geotagged photo browsing in a disaster monitoring. Moreover, we have proposed a context-based photo browsing. Additionally, we have focused on a clustering of filtered geotagged photos based on reverse-geocoding. We conducted an experiment using the GPS cameras in two areas. Then, we have confirmed that our algorithm can perform geospatial retrieval for a street-view photo browsing. Moreover, we have suggested revision methodology of the GPS positional disorder.

Original languageEnglish
Title of host publication34th Asian Conference on Remote Sensing 2013, ACRS 2013
PublisherAsian Association on Remote Sensing
Pages4484-4491
Number of pages8
ISBN (Print)9781629939100
Publication statusPublished - 2013 Jan 1
Event34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
Duration: 2013 Oct 202013 Oct 24

Publication series

Name34th Asian Conference on Remote Sensing 2013, ACRS 2013
Volume5

Conference

Conference34th Asian Conference on Remote Sensing 2013, ACRS 2013
CountryIndonesia
CityBali
Period13/10/2013/10/24

Keywords

  • Geotagged photos
  • Photo retrieval
  • Position data estimation
  • Reverse-geocoding
  • SIFT

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Endo, H., Hattori, S., Kataoka, K., Aihara, D., & Nakagawa, M. (2013). Geospatial photo retrieval for ground-based disaster monitoring. In 34th Asian Conference on Remote Sensing 2013, ACRS 2013 (pp. 4484-4491). (34th Asian Conference on Remote Sensing 2013, ACRS 2013; Vol. 5). Asian Association on Remote Sensing.