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Photography as Machine Vision

The Role of Imaging Technologies in Art History

Bibliographic Data

ID12919677
AuthorsEmily Pugh (0000-0001-6928-7888, Twitter (United States)), Tracy Stuber (0000-0002-3284-4780, Schlumberger (Ireland), corresponding author)
Year2023
Volume16
Issue2
Pages211-233
Publication date2023-05-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePhotographies (JOURNAL)
Journal identifiersISSN: 1754-0763 • E-ISSN: 1754-0771
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/17540763.2023.2189286
OpenAlexW4378417366
LanguageEN
References cited23

This paper analyzes the relationship between photography and machine vision by examining its prehistory, as embodied in the art-historical photo archive. It characterizes the introduction of machine vision to the world of libraries, archives, and museums as a renewed (rather than wholly new) effort to mechanize or systematize art and its history. Assumptions and attitudes about photography embedded in the photo archive are therefore easily and often inconspicuously reproduced in efforts to study art computationally. Noting this repetition, this paper reframes the debate about art-historical applications of computer vision to emphasize the issues this technology raises about what constitutes art-historical work. The question is not whether we should use computer vision or computers for art-historical inquiry, but rather, what kinds of activities we ask computers to perform. Understanding machine vision in the context of its prehistory is critical for explicating its relationship to photography, and the role of photography and digital images in the study of visual culture more generally

Aesthetics · Archaeology · Art · Art history · Contemporary art · Context (archaeology · Embodied cognition · History of art · History of photography · Performance art · Photography · Prehistory · Visual arts · Archaeological Research and Protection · Computer Science · Conservation Techniques and Studies · History · Photography and Visual Culture · Artificial Intelligence

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    Open Access•Ciaran B Trace•Archival Science•2021

  • Decolonizing Art History

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  • The Image of Objectivity

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Citation velocityhistorical
Highly citedNo

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