Learning Aesthetic Measure of a Document Page Layout From Designers’ Interaction
Inhaltsverzeichnis
Reference
Ahmadullin, I., Damera–Vankata, N.: Learning Aesthetic Measure of a Document Page Layout From Designers’ Interaction. Technical Report: HPL–2012–13. HP Laboratories (2012)
DOI
Abstract
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.
Extended Abstract
Bibtex
Used References
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http://www.hpl.hp.com/techreports/2012/HPL-2012-13.pdf
