• Automatically Harvesting High-Quality Images of Historic Bridges

    Author(s):
    F Michael Bartlett, William J Turkel (see profile)
    Date:
    2021
    Group(s):
    CSDH-SCHN 2021: Making the Network
    Subject(s):
    History, Databases, Linked data, Material culture, Computer vision
    Item Type:
    Presentation
    Meeting Title:
    CSDH/SCHN Conference 2021
    Meeting Org.:
    Canadian Society for Digital Humanities (CSDH/SCHN)
    Meeting Loc.:
    Remote, hosted from Edmonton, AB
    Meeting Date:
    May 30 – June 3, 2021
    Tag(s):
    Images, Historical databases, Linked open data
    Permanent URL:
    http://dx.doi.org/10.17613/x03a-cr15
    Abstract:
    This paper summarizes ongoing work on a project to create a database of digital images of historic bridges, each with extensive accompanying metadata and linked open data (LOD) identifiers. The database currently consists of 4800+ curated images of historic American and Canadian highway, railway and pedestrian bridges constructed between 1865 and 2019. The images are being used concurrently to develop computer vision, machine learning and image processing techniques to support a variety of tasks in historic conservation and preservation, research in the history of technology and engineering, and teaching in digital humanities and other fields.
    Metadata:
    xml
    Status:
    Published
    Last Updated:
    2 years ago
    License:
    All Rights Reserved
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