Jahanian Quantifying Aesthetics of Visual Design Applied to Automatic Design

1. Auflage 2016
ISBN: 978-3-319-31486-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 147 Seiten, eBook

Reihe: Springer Theses

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.

Zielgruppe

Research

Autoren/Hrsg.

Jahanian, Ali

Inhaltsverzeichnis

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

Über Autor(innen)

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.