Visual order of Chinese ink paintings

Visual Computing for Industry, Biomedicine, and Art

Kang Zhang¹  Zhen-Bao Fan¹ 

[1] Department of Computer Science, The University of Texas at Dallas, 75082-3021, Richardson, TX, USA;

关键词: Aesthetic measurement;    Paintings;    Visual order;    Visual information processing;   

DOI  :  10.1186/s42492-020-00059-5

来源: Springer

【 摘 要 】

Visual order is one of the key factors influencing the aesthetic judgment of artworks. This paper reports the results of evaluating the influence of extracted features on visual order in Chinese ink paintings, using a regression model. We use nine contemporary artists’ paintings as examples and extract features related to the visual order of their paintings. A questionnaire survey is conducted to collect people’s rating scores on the visual order. Via regression modeling, our research analyzes the significance of each feature and validates the influences of the features on the visual order.

【 授权许可】

CC BY