Measuring and Evaluating the Visual Complexity Of Chinese Ink Paintings
| Autor: | Jinhui Yu, Kang Zhang, Yi-Na Li, Zhen-Bao Fan, Mao Lin Huang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
genetic structures
General Computer Science 05 social sciences 06 humanities and the arts 060401 art practice history & theory humanities 050105 experimental psychology Visual complexity Computation Theory & Mathematics Visual arts 0501 psychology and cognitive sciences 08 Information and Computing Sciences Psychology 0604 arts |
| Zdroj: | The Computer Journal. 65:1964-1976 |
| ISSN: | 1460-2067 0010-4620 |
| DOI: | 10.1093/comjnl/bxab035 |
| Popis: | Painters arrange white space in contrast with chromatic space composed of strokes. This research measures white space, color complexity and stroke density in Chinese ink paintings and examines how these attributes influence the paintings’ perceived complexity. Empirical evidence from 21 well-known modern Chinese artists’ ink paintings shows that white space decreases paintings’ complexity, while chromatic space and stroke density increase complexity. We also reveal that a large rate of white space guides the viewers’ attention on chromatic space and enhances the impacts of color complexity and stroke density on perceived complexity. An eye-tracker measures viewers’ elaboration duration on each painting, which provides consistent evidence to validate our conclusion based on subjective reported visual complexity. Our research provides insights into the rhetorical role of white space in sensory information processing. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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