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Quantifying Aesthetics of Visual Design Applied to Automatic Design : Springer Theses - Ali Jahanian

Quantifying Aesthetics of Visual Design Applied to Automatic Design

By: Ali Jahanian

eText | 20 June 2016

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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.

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Non-FictionEngineering & TechnologyElectronics & Communications EngineeringElectronics EngineeringCircuits & ComponentsElectronic Devices & MaterialsLanguage & LinguisticsLinguisticsComputational LinguisticsComputing & I.T.Computer ScienceArtificial Intelligence
Natural Language & Machine TranslationMechanical Engineering & MaterialsMaterials ScienceAudio Processing

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Published: 7th June 2018

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