Notice
Tracking the Circulation of Images Digitally: From Artistic Cartography to the Study of Visual Contagions
- document 1 document 2 document 3
- niveau 1 niveau 2 niveau 3
Descriptif
How do images and styles spread out over time and place? Art historians can use digital methods to study "visual contagions" - how images circulate as material artefacts (paintings, sculptures, engravings, etc.) or in reproductions (in illustrated periodicals, in photography, or on the internet…), through which channels (cultural, geographical, political, social, economical, institutional, human…) and according to which logics. In this video we present how certain sources make it possible to reconstruct the trajectories of images using the historical clues to their circulation. The example of the Artl@s Project (https://www.artlas.huma-num.fr) shows the interest of serial and cartographic methods to study artistic circulations from homogeneous sources such as exhibition catalogues. We also address the new possibilities offered by deep learning and artificial intelligence algorithms applied to images.
Béatrice Joyeux-Prunel (University of Geneva)
Thème
Dans la même collection
-
Transfer Learning and Visualization of Neural Networks for Artistic Images
1ère intervention de la 2e session du colloque DHNord 2020
-
The Augmented Dataset: Artistic Appropriations of Gans and Their Bearings on Ethical Considerations…
Intervention de la 4e session du colloque DHNord 2020
-
From One Image to Another: Circulations, Transmissions, and Intervals
Table ronde de la 1ère journée du colloque DHNord 2020
-
Yet another digital surrogate? Computer vision and the future of collections management systems
4e intervention de la 2e session du colloque DHNord 2020
-
The Stakes of AI for Large Collections of Images and Research Infrastructures
Table ronde de la 4e journée de DHNord 2020
-
Paintings by Artificial Intelligence. Large-scale search for visual similarities
4e intervention de la 1ère session du colloque DHNord 2020
-
Image Mis-recognition: Augmentation, Automation, and Aesthetic Intelligence
2e intervention de la 3e session du colloque DHNord 2020
-
Angelic Movement. Exploring and Understanding Art, Iconography and Composition with Machine Learning
2e intervention de la 2e session du colloque DHNord 2020
-
ImageGraph: A Visual Programming Language for the Visual Digital Humanities
1ère intervention de la 5e session de DHNord 2020
-
The Art Historical Image Collection at Columbia University: Automating Research on Its Construction…
2e intervention de la 1ère session du colloque DHNord 2020
-
From Artificial Intelligence to Aesthetic Intelligence
Table ronde de la 3 journée du colloque DHNord 2020
-
Understanding Images Through Machine Learning and Deep Learning
Table ronde de la 2e journée du colloque DHNord 2020