1.

Record Nr.

UNINA9910741390803321

Autore

Wasielewski Amanda

Titolo

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

Pubbl/distr/stampa

Cambridge, Massachusetts : , : The MIT Press, , [2023]

ISBN

0-262-37474-9

0-262-37473-0

Edizione

[1st ed.]

Descrizione fisica

1 online resource (201 pages)

Collana

Leonardo

Disciplina

702.85

Soggetti

Art - Historiography - Data processing

Art - Expertising - Methodology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

"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"--