Aesthetic Computing and Computational Aesthetics

Speaker:  Kang Zhang – Richardson, TX, United States
Topic(s):  Applied Computing

Abstract

In this talk, we will introduce the recently emerging interdisciplinary research topics of computational aesthetics and aesthetic computing, and discuss their difference and complementary roles. As a case study, the theories and practices of abstract painting and their existing and potential applications in information visualization will be presented in the context of aesthetic computing. We discuss the three dimensions of painting, i.e. form, color, and texture, various visual cognition principles, and finally aesthetic compositions used in abstract painting. Our objective is to bridge visual art with information visualization, so that the latter could learn from the former in creating more aesthetic visualizations and thus making the viewers visualizing process a pleasant experience. In the context of computational aesthetics, we provide a classification scheme on the complexity of intelligence in generative art with example of generation approaches. Based on Birkhoff’s work on aesthetic measure, we review several recent attempts in computational approaches to aesthetic measurement and complexity measurement for art works.

About this Lecture

Number of Slides:  60
Duration:  60 minutes
Languages Available:  Chinese (Simplified), English
Last Updated: 

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