Geospatial street-view retrieval methodology using geo-tagged photos

Hirotaka Endo, Hiroshi Itaya, Masafumi Nakagawa

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル33rd Asian Conference on Remote Sensing 2012, ACRS 2012
ページ696-703
ページ数8
出版ステータスPublished - 2012 12 1
イベント33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand
継続期間: 2012 11 262012 11 30

出版物シリーズ

名前33rd Asian Conference on Remote Sensing 2012, ACRS 2012
1

Conference

Conference33rd Asian Conference on Remote Sensing 2012, ACRS 2012
国/地域Thailand
CityPattaya
Period12/11/2612/11/30

ASJC Scopus subject areas

  • 情報システム

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