An exploration of visual complexity

Authors:
Helen C. Purchase;Euan Freeman;John Hamer
Affiliations:
School of Computing Science, University of Glasgow, Glasgow, United Kingdom;School of Computing Science, University of Glasgow, Glasgow, United Kingdom;Department of Computer Science, University of Auckland, Auckland, New Zealand
Venue:
Diagrams'12 Proceedings of the 7th international conference on Diagrammatic Representation and Inference
Year:
2012

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Abstract

Inspired by the contrast between ‘classical' and ‘expressive' visual aesthetic design, this paper explores the ‘visual complexity' of images. We wished to investigate whether the visual complexity of an image could be quantified so that it matched participants' view of complexity. An empirical study was conducted to collect data on the human view of the complexity of a set of images. The results were then related to a set of computational metrics applied to these images, so as to identify which objective metrics best encapsulate the human subjective opinion. We conclude that the subjective notion of ‘complexity' is consistent both to an individual and to a group, but that it does not easily relate to the most obvious computational metrics.