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Learning design: Aesthetic models fo...

O'Donovan, Peter.

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Learning design: Aesthetic models for color, layout, and typography.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Learning design: Aesthetic models for color, layout, and typography./
作者:	O'Donovan, Peter.
面頁冊數:	189 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-06(E), Section: B.
Contained By:	Dissertation Abstracts International77-06B(E).
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3744115
ISBN:	9781339368634

Learning design: Aesthetic models for color, layout, and typography.
O'Donovan, Peter.

Learning design: Aesthetic models for color, layout, and typography. - 189 p.

Source: Dissertation Abstracts International, Volume: 77-06(E), Section: B.

Thesis (Ph.D.)--University of Toronto (Canada), 2015.

This thesis presents aestheticmodels for three key components of graphic design: color compatibility, layout creation, and font selection. We develop thesemodels using a variety of techniques, including machine learning and data mining, crowdsourcing, and optimization, and demonstrate their use in practical design applications. We .rst model color compatibility from large datasets, including analysis of existing color theories, a learned model for predicting compatibility, and several applications using this model. We then use a collaborative .ltering approach tomodel color preferences for individual users. Secondly, we present an energy-basedmodel for single-page design layouts derived from design principles, using novel analysis algorithms. We show how this model can be trained using existing layouts, and demonstrate its use on various tasks including style-based synthesis and retargeting. We then extend this model to enable an interactive, suggestion-based layout tool. Finally, wemodel fonts using attributes and similarity data from crowdsourced studies, then use these models to develop exploratory font selection interfaces.

ISBN: 9781339368634Subjects--Topical Terms:

523869
Computer science.

Learning design: Aesthetic models for color, layout, and typography.
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520 $a This thesis presents aestheticmodels for three key components of graphic design: color compatibility, layout creation, and font selection. We develop thesemodels using a variety of techniques, including machine learning and data mining, crowdsourcing, and optimization, and demonstrate their use in practical design applications. We .rst model color compatibility from large datasets, including analysis of existing color theories, a learned model for predicting compatibility, and several applications using this model. We then use a collaborative .ltering approach tomodel color preferences for individual users. Secondly, we present an energy-basedmodel for single-page design layouts derived from design principles, using novel analysis algorithms. We show how this model can be trained using existing layouts, and demonstrate its use on various tasks including style-based synthesis and retargeting. We then extend this model to enable an interactive, suggestion-based layout tool. Finally, wemodel fonts using attributes and similarity data from crowdsourced studies, then use these models to develop exploratory font selection interfaces.
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