Measuring and Evaluating the Visual Complexity of Chinese Ink Paintings

Fan, Z-B; LI, Y; Zhang, K; Yu, J; Huang, ML

Measuring and Evaluating the Visual Complexity of Chinese Ink Paintings

Fan, Z-B LI, Y Zhang, K Yu, J Huang, ML

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Publisher:: Oxford University Press
Publication Type:: Journal Article
Citation:: The Computer Journal, 2021, pp. 1-13
Issue Date:: 2021-03-02

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Field	Value	Language
dc.contributor.author	Fan, Z-B
dc.contributor.author	LI, Y
dc.contributor.author	Zhang, K
dc.contributor.author	Yu, J
dc.contributor.author	Huang, ML
dc.date.accessioned	2021-03-14T06:21:57Z
dc.date.available	2021-03-14T06:21:57Z
dc.date.issued	2021-03-02
dc.identifier.citation	The Computer Journal, 2021, pp. 1-13
dc.identifier.issn	0010-4620
dc.identifier.uri	http://hdl.handle.net/10453/147103
dc.description.abstract	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 twenty-one 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.
dc.language	en
dc.publisher	Oxford University Press
dc.relation	Southern University of Science and Technology
dc.relation.ispartof	The Computer Journal
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	This is a pre-copyedited, author-produced version of an article accepted for publication in The Computer Journal following peer review. The version of record The Computer Journal, 2021, pp. 1-13 is available online at: (DOI URI unavailable).	en_US
dc.subject	08 Information and Computing Sciences
dc.subject.classification	Computation Theory & Mathematics
dc.title	Measuring and Evaluating the Visual Complexity of Chinese Ink Paintings
dc.type	Journal Article
utslib.location.activity	UK
utslib.for	08 Information and Computing Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2021-03-14T06:21:32Z
pubs.publication-status	Accepted

Abstract:

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 twenty-one 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.

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http://hdl.handle.net/10453/147103