TY - GEN
T1 - Geospatial photo retrieval for ground-based disaster monitoring
AU - Endo, Hirotaka
AU - Hattori, Shinya
AU - Kataoka, Konosuke
AU - Aihara, Daichi
AU - Nakagawa, Masafumi
PY - 2013/1/1
Y1 - 2013/1/1
N2 - 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.
AB - 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.
KW - Geotagged photos
KW - Photo retrieval
KW - Position data estimation
KW - Reverse-geocoding
KW - SIFT
UR - http://www.scopus.com/inward/record.url?scp=84903478429&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84903478429&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84903478429
SN - 9781629939100
T3 - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
SP - 4484
EP - 4491
BT - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
PB - Asian Association on Remote Sensing
T2 - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
Y2 - 20 October 2013 through 24 October 2013
ER -