Computational Imagination and Digital Art History

  • Giacomo Mercuriali (Author)
    Università Statale di Milano École des hautes études en sciences sociales, Paris
    PhD Candidate, Department of Philosophy and Human Sciences, Università Statale di Milano

Identifiers (Article)

Abstract

This essay explores the parallel rising of computer vision technology and digital art history, examining some of the current possibilities and limits of computational techniques applied to the cultural and historical studies of images. A fracture emerges: computer scientists seem to lack in the critical approach typical of the humanities, a shortfall which sometimes condemns their attempts to remain technological curiosities. For their part, humanists lack in technical knowledge that is needed to directly investigate big archives of images, with the result that art historians often must limit their attempts in the computer-aided inquires on texts or metadata databases, a task that does not imply the study of the images themselves. A future dialogue between the two areas is claimed as a necessity to foster this new branch of knowledge.

Statistics

loading

References

Isaac Asimov, “The Last Question,” Science Fiction Quarterly 4, no. 5 (November 1956), 6–15.

Walter Benjamin, Das Passagen-Werk, Gesammelte Schriften, Band V, ed. R. Tiedemann (Frankfurt am Main: Suhrkamp, 1982), trans. The Arcades Project (Cambridge, MA, London: Harvard University Press, 1999), 241.

Grégoire Chamayou, Théorie du drone (Paris: La Fabrique, 2013), trans. A Theory of the Drone (New York: The New Press: 2015).

Georges Didi-Huberman, La ressemblance informe ou le gai savoir visuelle selon Georges Bataille (Paris: Macula, 1995).

Johanna Drucker, Anne Helmreich, Matthew Lincoln, Francesca Rose, “Digital Art History: The American Scene”, Perspective [Online], no. 2 (2015), http://perspective.revues.org/6021.

Ahmed Elgammal, “Computer science can only help – not hurt – art historians”, The Conversation, December 4, 2014, http://theconversation.com/computer-science-can-only-help-not-hurt-art-historians-33780.

Pamela Fletcher, “Reflections on Digital Art History”, caa.reviews, June 18, 2015, http://www.caareviews.org/reviews/2726#fnr6.

Donald Geman, Stuart Geman, Neil Hallonquist, Laurent Younes, “Visual Turing Test for Computer Vision Systems”, PNAS 112, no. 12 (2015): 3618–3623.

Leonardo Impett and Sabine Süsstrunk, “Pose and Pathosformel in Aby Warburg’s Bilderatlas”, Computer Vision – ECCV 2016 Workshops, ed. G. Hua e H. Jégou (Amsterdam: Springer, 2016), 888–902.

Ray Kurzweil, The Singularity Is Near: When Humans Transcend Biology (New York: Viking, 2005).

George Orwell, Nineteen Eighty-Four: A Novel (London: Secker & Warburg, 1949).

Lev Manovich, “Data Science and Digital Art History”, International Journal for Digital Art History, no. 1, 2015, doi: 10.11588/dah.2015.1.21631.

Lev Manovich, “Mondrian vs Rothko: Revealing the Comparative "Footprints" of the Modern Painters”, Cultural Analytics Lab, 2016, http://lab.culturalanalytics.info/2016/04/mondrian-vs-rothko.html.

Matteo Pasquinelli, “Arcana Mathematica Imperii: The Evolution of Western Computational Norms”, Former West: Art and the Contemporary after 1989, ed. M. Hlavajova and S. Sheikh (Cambridge, MA: MIT University Press, 2017), 281–293.

Tom Phillips, “China testing facial-recognition surveillance system in Xinjiang”, The Guardian, January 18, 2018, https://www.theguardian.com/world/2018/jan/18/china-testing-facial-recognition-surveillance-system-in-xinjiang-report.

Andrea Pinotti, “Chi ha paura dello pseudomorfo?”, Rivista di Estetica, no. 62, 2016, 81–98.

Griselda Pollock, “Computers can find similarities between paintings – but art history is about so much more”, The Conversation, August 22, 2014, http://theconversation.com/computers-can-find-similarities-between-paintings-but-art-history-is-about-so-much-more-30752.

Babak Saleh, Kanako Abe, Ravneet Singh Arora, Ahmed Elgammal, “Toward Automated Discovery of Artistic Influence”, Multimedia Tools and Applications 75, no. 7 (August 2014): 3565–3591.

Simon Shallue, “Show and Tell: Image Captioning Open Sourced in TensorFlow”, Google Research Blog, September 22, 2016; https://research.googleblog.com/2016/09/show-and-tell-image-captioning-open.html.

Alan Turing, “Computing Machinery and Intelligence”, Mind 59, no. 236 (1950): 433–460

Glenn W. Smith and Frederic Fol Leymarie, “The Machine as Artist: An Introduction”, Arts 7, no. 2 (2017), doi: 10.3390/arts6020005.

Shaun Walker, “Face recognition app taking Russia by storm may bring end to public anonymity”, The Guardian, May 17, 2016, https://www.theguardian.com/technology/2016/may/17/findface-face-recognition-app-end-public-anonymity-vkontakte.

Andrew Zhai, “Introducing a New Way to Visually Search on Pinterest”, Pinterest Engineering, November 8, 2015, https://medium.com/@Pinterest_Engineering/introducing-a-new-way-to-visually-search-on-pinterest-67c8284b3684.

Section
Language
en
Keywords
Computer vision, digital art history, computational imagination
How to Cite
Mercuriali, Giacomo. 2018. “Computational Imagination and Digital Art History”. International Journal for Digital Art History, no. 3 (July). https://doi.org/10.11588/dah.2018.3.47287.