StartseiteLa mesure des images : approches computationnelles en histoire et théorie des arts

La mesure des images : approches computationnelles en histoire et théorie des arts

The Measurement of Images: Computational Approaches in the History and Theory of the Arts

DHNord2020

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Veröffentlicht am Freitag, 29. Mai 2020 bei Céline Guilleux

Zusammenfassung

The DHNord colloquium brings together the digital humanities community every year at the Maison Européenne des Sciences de l'Homme et de la Société in Lille. The theme chosen for 2020 considers computational approaches to images in the history and theory of the arts. This conference will bring together for the first time in France the leading specialists in artificial intelligence applied to the arts.

Inserat

Argument

The DHNord colloquium brings together the digital humanities community every year at the Maison Européenne des Sciences de l'Homme et de la Société in Lille. The theme chosen for 2020 considers computational approaches to images in the history and theory of the arts. This conference will bring together for the first time in France the leading specialists in artificial intelligence applied to the arts. The history of arts and culture, as well as aesthetics, have greatly benefited in recent years from the results of heritage digitization campaigns. Since 2013, digital art history has experienced unprecedented growth, particularly in the Anglo-Saxon spheres and in Europe (Joyeux-Prunel, Drucker 2013, Zorich 2012). While the analysis of texts has long been favored by the digital humanities, it is now becoming possible to carry out computational analyses on the very matter of images, or even on 3D objects, which constitutes a major turning point. This colloquium will explore how computational methods are renewing traditional questions of art history, aesthetics and visual culture (creative process, style, form, attribution, iconology, circulation of works, etc.) and raising new research questions for our disciplines (visual arts, architecture, theatre, cinema, photography, etc.) at a time when new tools are becoming available to researchers.

Papers may address the following topics: uses of artificial intelligence (especially deep learning and machine learning) applied to image corpora, data construction, and processing issues, epistemological questions related to the selection of training corpora and the use of tools, historical evolution of the field, renewal of research questions, availability of corpora, reproducibility of research and sharing of models. The invitation to foreign speakers and the need to exchange our work in an international context implies that the language used for oral communications will be English. Proposals can be sent in both French and English.

Submission guidelines

Submissions may include :

20-minute presentations, which will then be organized in thematic sessions. (abstract: 500 words, excluding references)

Posters / demos. (abstract: 750 words, excluding references)

Please submit your proposal at : https://dhnord2020.sciencesconf.org/

 A collective book resulting from the conference will be published by the Presses Universitaires du Septentrion and will be available in Open Access. We encourage authors to publish the datasets and the computer code jointly. In order to facilitate a quick edition and to favor exchanges during the conference, the final texts, in French or in English, will be due by 01/10/2020.

The current health situation will probably lead us to adapt the traditional face-to-face format of the conference.

Calendar :

  • 05/06/2020: abstract deadline

  • 20/06/2020: notification of acceptances
  • 01/10/2020: paper submission deadline

Chairs 

  • Clarisse Bardiot and Emmanuel Château-Dutier

Scientific Committee

  • Elise Baillieul (ULille)
  • Clarisse Bardiot (UPHF, MESHS)
  • Emmanuel Château-Dutier (Université de Montréal, CRIHN)
  • Antoine Courtin (INHA)
  • Océane Delleaux (ULille)
  • Béatrice Joyeux-Prunel (University of Geneva)
  • Nicolas Hervé (INA)
  • Kristin Tanton (Université de Montréal, CRIHN)
  • Nicolas Thély (University of Rennes, MSHB)

Orte

  • 2, rue des Canonniers
    Lille, Frankreich (59000)

Daten

  • Freitag, 05. Juni 2020

Schlüsselwörter

  • image, artificial intelligence, corpus, measurement, aesthetics, art

Kontakt

  • Clarisse Bardiot
    courriel : dhnord [at] meshs [dot] fr

Verweis-URLs

Informationsquelle

  • Mathilde Wybo
    courriel : communication [at] meshs [dot] fr

Zitierhinweise

« La mesure des images : approches computationnelles en histoire et théorie des arts », Beitragsaufruf, Calenda, Veröffentlicht am Freitag, 29. Mai 2020, https://calenda.org/780714

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