Computing Images. Photography and Artificial Intelligence
Interview with Sabine Süsstrunk

The nexus of digital photography and computing is profoundly changing the ways in which images will be created, used and perceived in the future. In an interview with Estelle Blaschke and Davide Nerini, computational scientist Sabine Süsstrunk discusses the non-linear development towards computational photography and computer vision, fuelled by unprecedented photographic production and rapid technological advances in artificial intelligence.

L’algorithme « Deep Feature Factorization (DFF) » permet de reconnaître différentes parties d’une image, indépendamment de l’échelle, de la perspective et des transformations plus complexes affectant l’image cible ; tiré de Edo Collins, Radhakrishna Achanta et Sabine Süsstrunk, « Deep Feature Factorization for Concept Discovery », in Vittorio Ferrari et al. (dir.), Computer Vision. ECCV 2018, 15th European Conference, actes du colloque (8-14 sept. 2018, Munich), Cham, Springer International Publishing, 2018, p. 353.

Sabine Süsstrunk is a full professor at the École Fédérale Polytechnique de Lausanne, where she is in charge of the Images and Visual Representation Lab in the School of Computer and Communication Sciences. Her research areas are computational imaging and computational photography, colour image processing and computer vision, as well as image quality and computational aesthetics. She is a Fellow of IEEE and IS&T, and received the 2013 IS&T/SPIE Electronic Imaging Scientist of the Year Award. Collections

Citation: Estelle Blaschke, Davide Nerini, « Calculer les images. Photographie et intelligence artificielle. Entretien avec Sabine Süsstrunk », Transbordeur. Photographie histoire société, no. 3, 2019, pp. 106-111.
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