Quantifying Aesthetics of Visual Design Applied to Automatic Design

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.

List of contents

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.

About the author

Dr. Ali Jahanian graduated with
a Ph.D. from the School of Electrical and Computer Engineering at Purdue
University, and is currently at the Massachusetts Institute of Technology Computer
Science and Artificial Intelligence Laboratory.

Summary

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.

Product details

• Authors: Ali Jahanian
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2016
• EAN: 9783319314853
• ISBN: 978-3-31-931485-3
• No. of pages: 137
• Dimensions: 162 mm x 243 mm x 14 mm
• Weight: 344 g
• Illustrations: XIV, 137 p. 45 illus., 42 illus. in color.
• Series: Springer Theses; Springer Theses
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; B, Computerlinguistik und Korpuslinguistik, Optical and Electronic Materials, Electronic Circuits and Devices, Physics and Astronomy, Electronic materials, Electronic devices & materials, Optical Materials, Computational Linguistics, Electronic circuits, Electronic Circuits and Systems