Bell, Peter and Offert, Fabian (2021) Reflections on connoisseurship and computer vision. Journal of Art Historiography (24). ISSN 2042-4752
| PDF - Published Version bell%2Doffert.pdf 668Kb |
URL of Published Version: https://arthistoriography.files.wordpress.com/2021/05/bell-offert.pdf
Identification Number/DOI: https://doi.org/10.48352/uobxjah.00003418
Abstract
In digital art history, with the help of machine learning, connoisseurship is modelled as learning from examples. We show how this approach can lead to successful operationalisations of connoisseurial concepts on the one hand, and how it raises significant phenomenological and epistemological questions on the other.
| Type of Work: | Article |
|---|---|
| School/Faculty: | Colleges (2008 onwards) > College of Arts & Law |
| Department: | Department of Art History, Curating and Visual Studies |
| Additional Information: | This article is archived in ePapers for preservation purposes |
| Date: | June 2021 |
| Keywords: | digital humanities, digital connoisseurship, machine learning |
| Subjects: | N Fine Arts > NX Arts in general |
| Copyright Status: | Copyright for articles published in this journal is retained by the authors, with first publication rights granted to the journal. Authors may subsequently archive and publish the pdfs as produced by the journal. By virtue of their appearance in this open access journal, articles are free to use, with proper attribution, in educational and other non-commercial settings. Copyright restrictions apply to the use of any images contained within the articles. This work is licensed under a CC BY-NC 4.0 International License https://creativecommons.org/licenses/by-nc/4.0/ |
| ID Code: | 3418 |
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