Measuring and Evaluating the Visual Complexity Of Chinese Ink Paintings

被引:13
作者
Fan, Zhen-Bao [1 ]
Li, Yi-Na [2 ]
Zhang, Kang [3 ]
Yu, Jinhui [4 ]
Huang, Mao Lin [5 ]
机构
[1] Univ Texas Dallas, Dept Comp Sci, 800 W Campbell Rd, Richardson, TX 75082 USA
[2] Univ Technol Sydney, Sch Comp Sci, 15 Broadway, Ultimo, NSW 2007, Australia
[3] United Int Coll, Div Sci & Technol, 2000 Jintong Rd, Zhuhai 519087, Guangdong, Peoples R China
[4] Zhejiang Univ, Dept Comp Sci & Technol, 38 Zheda Rd, Hangzhou 310027, Peoples R China
[5] Univ Technol Sydney, Sch Comp Sci, 15 Broadway, Ultimo, NSW 2007, Australia
基金
中国国家自然科学基金;
关键词
paintings; complexity; regression model; visual rhetoric; visual information processing; WHITE SPACE; FIGURES; BEAUTY;
D O I
10.1093/comjnl/bxab035
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1964 / 1976
页数:13
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