TY - GEN
T1 - Metadata-based photo filtering for facility management
AU - Czerniawski, Thomas
AU - Ma, Jong Won
AU - Leite, Fernanda
N1 - Publisher Copyright:
© EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Facility management information systems are difficult to manage due to the enormous scope of buildings. We present a method for organizing and retrieving photos from massive facility management photo databases using photo-metadata. Providing an intuitive organizational scheme, location, camera orientation, and semantic content description metadata exploit the physical structure of the existing building their photos represent. Location is inferred using Bluetooth beacons. Camera orientation is inferred from the device's on-board inertial measurement unit (IMU). Image content is inferred using automatic object recognition. As a user traverses the interior of a facility, the photo library displayed on their mobile device is ordered by the proximity to the user's current location. A root mean square error (RMSE) of 1.1 meters is achieved for localization. This ordering is refined using a query image's camera orientation and image semantic content description. The presented photo management application reduces the time required to find relevant historical photos representing objects within a user's vicinity.
AB - Facility management information systems are difficult to manage due to the enormous scope of buildings. We present a method for organizing and retrieving photos from massive facility management photo databases using photo-metadata. Providing an intuitive organizational scheme, location, camera orientation, and semantic content description metadata exploit the physical structure of the existing building their photos represent. Location is inferred using Bluetooth beacons. Camera orientation is inferred from the device's on-board inertial measurement unit (IMU). Image content is inferred using automatic object recognition. As a user traverses the interior of a facility, the photo library displayed on their mobile device is ordered by the proximity to the user's current location. A root mean square error (RMSE) of 1.1 meters is achieved for localization. This ordering is refined using a query image's camera orientation and image semantic content description. The presented photo management application reduces the time required to find relevant historical photos representing objects within a user's vicinity.
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M3 - Conference contribution
AN - SCOPUS:85091022188
T3 - EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings
SP - 333
EP - 341
BT - EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings
A2 - Ungureanu, Lucian-Constantin
A2 - Hartmann, Timo
PB - Universitatsverlag der TU Berlin
T2 - 27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020
Y2 - 1 July 2020 through 4 July 2020
ER -