國立虎尾科技大學 |

Quantifying aesthetics of visual design applied to automatic design.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Quantifying aesthetics of visual design applied to automatic design./
Author:	Jahanian, Ali.
Description:	1 online resource (173 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 76-11, Section: B.
Contained By:	Dissertations Abstracts International76-11B.
Subject:	Electrical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9781321663938

Quantifying aesthetics of visual design applied to automatic design.
Jahanian, Ali.

Quantifying aesthetics of visual design applied to automatic design. - 1 online resource (173 pages)

Source: Dissertations Abstracts International, Volume: 76-11, Section: B.

Thesis (Ph.D.)--Purdue University, 2014.

Includes bibliographical references

In today's "Instagram" world, with advances in ubiquitous computing and access to social networks, digital media is adopted by art and culture. In this dissertation, we study what makes a good design by investigating mechanisms to bring aesthetics of design from realm of subjection to objection. These mechanisms are a combination of three main approaches: learning theories and principles of design by collaborating with professional designers, mathematically and statistically modeling good designs from large scale datasets, and crowdscourcing to model perceived aesthetics of designs from general public responses. We then apply the knowledge gained in automatic design creation tools to help non-designers in self-publishing, and designers in inspiration and creativity. Arguably, unlike visual arts where the main goals may be abstract, visual design is conceptualized and created to convey a message and communicate with audiences. Therefore, we develop a semantic design mining framework to automatically link the design elements, layout, color, typography, and photos to linguistic concepts. The inferred semantics are applied to a design expert system to leverage user interactions in order to create personalized designs via recommendation algorithms based on the user's preferences.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9781321663938Subjects--Topical Terms:

596380
Electrical engineering.
Subjects--Index Terms:

AestheticsIndex Terms--Genre/Form:

554714
Electronic books.

Quantifying aesthetics of visual design applied to automatic design.
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502 $a Thesis (Ph.D.)--Purdue University, 2014.
504 $a Includes bibliographical references
520 $a In today's "Instagram" world, with advances in ubiquitous computing and access to social networks, digital media is adopted by art and culture. In this dissertation, we study what makes a good design by investigating mechanisms to bring aesthetics of design from realm of subjection to objection. These mechanisms are a combination of three main approaches: learning theories and principles of design by collaborating with professional designers, mathematically and statistically modeling good designs from large scale datasets, and crowdscourcing to model perceived aesthetics of designs from general public responses. We then apply the knowledge gained in automatic design creation tools to help non-designers in self-publishing, and designers in inspiration and creativity. Arguably, unlike visual arts where the main goals may be abstract, visual design is conceptualized and created to convey a message and communicate with audiences. Therefore, we develop a semantic design mining framework to automatically link the design elements, layout, color, typography, and photos to linguistic concepts. The inferred semantics are applied to a design expert system to leverage user interactions in order to create personalized designs via recommendation algorithms based on the user's preferences.
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538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
650 4 $a Computer engineering. $3 569006
653 $a Aesthetics
653 $a Automatic design
653 $a Color design
653 $a Layout
653 $a Typography
653 $a Visual design
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