Computational formalism : : art history and machine learning / / Amanda Wasielewski.

• VerfasserIn: Wasielewski, Amanda,
• Place / Publishing House: Cambridge, Massachusetts : : The MIT Press,, [2023]
• Year of Publication: 2023
• Edition: 1st ed.
• Language: English
• Series: Leonardo Series
• Physical Description: 1 online resource (201 pages)

"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"-- Provided by publisher.

Table of Contents

Intro -- Contents -- Series Foreword -- Acknowledgments -- Introduction: Return to Form -- Machine Learning and Computer Vision -- The New Science Wars -- Digital Art History -- Objectivity and Cultural Studies -- Art History and Objectivity -- Computational Formalism -- Questions of Style -- 1. The Shape of Data -- Digitization and Dataset Creation -- The Semantic Gap -- Artificial ArtHistorian -- Image Selection -- Image Categorization -- Stylistic Determinism -- Style Unsupervised -- Stylistic Devices -- 2. Deep Connoisseurship -- Cat, Dog, or Virgin Mary? -- Value, Fame, and the Artist's Hand -- Opening the Black Box -- The Business of Authenticity -- Next-Level Forgeries and Fakes -- An Artificial Artist? -- Poor Images -- 3. Conclusion: Man, Machine, Metaphor -- The Rise of the Humanities Lab -- Foreign Metaphors as Interdisciplinary Tool -- Appendix: Classification by Artistic Style, Publications in Computer Science, 2005-2021, Including the Development and Utilization of Fine Art Datasets -- Notes -- Introduction -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Appendix -- Index.