Geospatial photo retrieval for ground-based disaster monitoring

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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル34th Asian Conference on Remote Sensing 2013, ACRS 2013
出版社Asian Association on Remote Sensing
ページ4484-4491
ページ数8
ISBN(印刷版)9781629939100
出版ステータスPublished - 2013 1 1
イベント34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
継続期間: 2013 10 202013 10 24

出版物シリーズ

名前34th Asian Conference on Remote Sensing 2013, ACRS 2013
5

Conference

Conference34th Asian Conference on Remote Sensing 2013, ACRS 2013
国/地域Indonesia
CityBali
Period13/10/2013/10/24

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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