Learning Aesthetics Measure of a Document Page Layout From Designers'*

[摘要] Aesthetics evaluation of a document layout is typically performed by a designer. Recently there has been proposed a number of automated systems for document creation. We present a new paradigm to automatically quantify document aesthetics, that can be used in the automated document composition techniques. Given a document template, we specify a few aesthetics parameters that can be adjusted to obtain the most aesthetically pleasing layout of a document page. We use graphical interface, where for a given amount of content designers can adjust the parameters to obtain a layout of the highest aesthetic value. The parameters are stored as a feature vector. After obtaining sufficiently large amount of feature vectors, the feature set is modelled by a Gaussian probability distribution. The resulting model can be used in predicting aesthetic value of a new document, or to compose a document of the highest aesthetic value for a given content.

[发布机构] HP Development Company

[学科分类] 计算机科学（综合）

[关键词] automated publishing;quantifying aesthetics;designer interaction;probabilistic modeling