Computational Impressionism: Aesthetic Transference Between Impressionism and Emerging Media Arts
Symposium:
- ISEA2019: 25th International Symposium on Electronic Art
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Presentation Title:
- Computational Impressionism: Aesthetic Transference Between Impressionism and Emerging Media Arts
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Abstract:
This project aims to incite an aesthetic transference between Impressionism and emerging media art practices. How might we design a framework that is able to perceive and capture the characteristics of sceneries to portray its impression, much like Impressionists did? Inspired by the philosophy of Impressionism,this paper explores a way of depicting an impression of the world made by computers using deep neural networks (DNN). First, we built a conceptual framework adopting the insights acquired from Impressionism from a historical context. Then, we reconstruct an original image through the DNN as an approximation of human perception of the world. Our results demonstrated an opportunity for adopting a machine learning approach to generate visualizations for emerging digital media art purposes conceptually as well as practically
Sponsorship/Support:
- University of Illinois at Urbana-Champaign