Quantifying Aesthetics of Visual Design Applied to Automatic Design [Hardcover]

In this thesis, the author makes several contributions to thestudy of design of graphical materials. The thesis begins with a review of therelationship between design and aesthetics, and the use of mathematical modelsto capture this relationship. Then, a novel method for linking linguistic concepts to colorsusing the Latent Dirichlet Allocation Dual Topic Model is proposed.  Next, the thesis studies the relationship between aesthetics and spatial layout by formalizing the notion of visual balance.  Applying principles of salience and Gaussian mixture models over a body of about 120,000 aesthetically rated professional photographs, the author provides confirmation of Arnhem's theory about spatial layout.  The thesis concludes with a description oftools to support automatically generating personalized design.

Introduction.- On The Legitimacy Of Quantifying Aesthetics.- DesignMining Color Semantics.- Design Mining Visual Balance.- Automatic Design OfSelf-Published Media: A Case Study Of Magazine Covers.- Recommendation SystemFor Automatic Design.

Dr. Ali Jahanian graduated witha Ph.D. from the School of Electrical and Computer Engineering at PurdueUniversity, and is currently at the Massachusetts Institute of Technology ComputerScience and Artificial Intelligence Laboratory.

In this thesis, the author makes several contributions to the study of design of graphical materials. The thesis begins with a review of the relationship between design and aesthetics, and the use of mathematical models to capture this relationship. Then, a novel method for linking linguistic concepts to colors using the Latent Dirichlet Allocation Dual Topic Model is proposed.  Next, the thesis studies the relationship between aesthetics and spatial layout by formalizing the notion of visual balance.  Applying principles of salience and Gaussian mixture models over a body of about 120,000 aestheticall%