Quantifying Aesthetics Of Visual Design Applied To Automatic Design (springer Theses)
by Ali Jahanian /
2016 / English / PDF
4.9 MB Download
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.
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.
