Amanda Wasielewski

Computational Formalism

Art History and Machine Learning

• Broschiertes Buch

Produktbeschreibung

"Computational Formalism investigates examples of art historical analysis in the fields of computer and information sciences, and frames this research in the context of art historiography. The use of machine learning to analyze art images has ushered in a renewed interest in formalism in art history, but these new techniques create new critical challenges for the field"--

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Produktdetails

• Verlag: MIT Press Ltd
• Seitenzahl: 184
• Erscheinungstermin: 23. Mai 2023
• Englisch
• Abmessung: 223mm x 151mm x 13mm
• Gewicht: 340g
• ISBN-13: 9780262545648
• ISBN-10: 0262545640
• Artikelnr.: 67402281

Autorenporträt

Amanda Wasielewski is Assistant Professor in Digital Humanities at Uppsala University. She is the author of Made in Brooklyn: Artists, Hipsters, Makers, Gentrifiers and From City Space to Cyberspace: Art, Squatting, and Internet Culture in the Netherlands.

Inhaltsangabe

Series Foreword ix
Acknowledgments xi
Introduction: Return to Form 1
Machine Learning and Computer Vision 3
The New Science Wars 11
Digital Art History 16
Objectivity and Cultural Studies 22
Art History and Objectivity 25
Computational Formalism 30
Questions of Style 34
1 The Shape of Data 39
Digitization and Dataset Creation 42
The Semantic Gap 49
Artificial ArtHistorian 51
Image Selection 60
Image Categorization 67
Stylistic Determinism 75
Style Unsupervised 79
Stylistic Devices 84
2 Deep Connoisseurship 87
Cat, Dog, or Virgin Mary? 92
Value, Fame, and the Artist's Hand 95
Opening the Black Box 101
The Business of Authenticity 107
Next-Level Forgeries and Fakes 115
An Artificial Artist? 119
Poor Images 124
3 Conclusion: Man, Machine, Metaphor 127
The Rise of the Humanities Lab 133
Foreign Metaphors as Interdisciplinary Tool 135
Appendix: Classification by Artistic Style, Publications in Computer
Science, 2005-2021, Including the Development and Utilization of Fine Art
Datasets 139
Notes 145
Index 177