Digital Excavation of Mediatized Urban Heritage: Automated Recognition of Buildings in Image Sources

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Abstract: Digital technologies provide novel ways of visualizing cities and buildings. They also facilitate new methods of analyzing the built environment, ranging from artificial intelligence (AI) to crowdsourced citizen participation. Digital representations of cities have become so refined that they challenge our perception of the real. However, computers have not yet become able to detect and analyze the visible features of built structures depicted in photographs or other media. Recent scientific advances mean that it is possible for this new field of computer vision to serve as a critical aid to research. Neural networks now meet the challenge of identifying and analyzing building elements, buildings and urban landscapes. The development and refinement of these technologies requires more attention, simultaneously, investigation is needed in regard to the use and meaning of these methods for historical research. For example, the use of AI raises questions about the ways in which compute

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch
Notes
Veröffentlichungsversion
begutachtet (peer reviewed)
In: Urban Planning ; 5 (2020) 2 ; 24-34

Classification
Architektur

Event
Veröffentlichung
(where)
Mannheim
(who)
SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
(when)
2020
Creator
Mager, Tino
Hein, Carola

DOI
10.17645/up.v5i2.3096
URN
urn:nbn:de:101:1-2021092208001377048391
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:23 AM CEST

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Associated

  • Mager, Tino
  • Hein, Carola
  • SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.

Time of origin

  • 2020

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