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.
| Original language | English |
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| Title of host publication | Diagrammatic Representation and Inference |
| Publisher | Springer |
| Pages | 200-213 |
| Number of pages | 14 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | International Conference on the Theory and Application of Diagrams 2012 - Canterbury, United Kingdom Duration: 2 Jul 2012 → 6 Jul 2012 Conference number: 7th https://link.springer.com/book/10.1007/978-3-642-31223-6 (Conference Proceedings) |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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| Volume | 7352 |
| ISSN (Print) | 0302-9743 |
Conference
| Conference | International Conference on the Theory and Application of Diagrams 2012 |
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| Country/Territory | United Kingdom |
| City | Canterbury |
| Period | 2/07/12 → 6/07/12 |
| Internet address |
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Keywords
- empirical results
- Image complexity
- image processing
- visual aesthetic