Metadata-based photo filtering for facility management

Thomas Czerniawski, Jong Won Ma, Fernanda Leite

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

Abstract

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.

Original languageEnglish (US)
Title of host publicationEG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings
EditorsLucian-Constantin Ungureanu, Timo Hartmann
PublisherUniversitatsverlag der TU Berlin
Pages333-341
Number of pages9
ISBN (Electronic)9783798331556
StatePublished - 2020
Externally publishedYes
Event27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020 - Virtual, Online, Germany
Duration: Jul 1 2020Jul 4 2020

Publication series

NameEG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings

Conference

Conference27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020
CountryGermany
CityVirtual, Online
Period7/1/207/4/20

ASJC Scopus subject areas

  • Computer Science Applications
  • Engineering(all)

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