Computational formalism : art history and machine learning

How the use of machine learning to analyze art images has revived formalism in art history, presenting a golden opportunity for art historians and computer scientists to learn from one another.Though formalism is an essential tool for art historians, much recent art history has focused on the social...

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Bibliographic Details
Main Author: Wasielewski, Amanda
Format: eBook Book
Language:English
Published: Cambridge MIT Press 2023
The MIT Press
Edition:1
Series:Leonardo
Subjects:
ISBN:9780262545648, 0262545640, 0262374730, 9780262374736, 9780262374743, 0262374749
Online Access:Get full text
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Table of Contents:
  • Intro -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of 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 -- Index
  • 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