| 书目名称 | Quantifying Aesthetics of Visual Design Applied to Automatic Design |
| 编辑 | Ali Jahanian |
| 视频video | |
| 概述 | Nominated as an outstanding Ph.D. thesis by Purdue University, USA.Focuses on the automatic design of visual media and the quantification of such designs‘ aesthetics.Tackles the understanding of visua |
| 丛书名称 | Springer Theses |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2016 |
| 关键词 | Gaussian mixture models; Latent Dirichlet Allocation Dual Topic Model; graphical materials; quantificat |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-31486-0 |
| isbn_softcover | 978-3-319-81050-8 |
| isbn_ebook | 978-3-319-31486-0Series ISSN 2190-5053 Series E-ISSN 2190-5061 |
| issn_series | 2190-5053 |
| copyright | Springer International Publishing Switzerland 2016 |
发表于 2025-3-21 17:56:35
