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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 aesthetically rated professional photographs, the author provides confirmation of Arnhem’s theory about spatial layout. The thesis concludes with a description of tools to support automatically generating personalized design.
This is a digital product.
Quantifying Aesthetics of Visual Design Applied to Automatic Design is written by Ali Jahanian and published by Springer. The Digital and eTextbook ISBNs for Quantifying Aesthetics of Visual Design Applied to Automatic Design are 9783319314860, 3319314866 and the print ISBNs are 9783319314853, 3319314858.

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