Abstract
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.
Highlights
Visual order refers to the arrangement of elements according to similarity and difference, repetition and symmetry in the elements
Inspired by the assessment of photographs and paintings of other genres, we investigate different features related to visual order and evaluate whether these features are influential or not
We compute the average rating on the visual order of each painting and build a linear regression model using the average rating scores as a dependent variable and the calculated features as independent variables
Summary
Visual order refers to the arrangement of elements according to similarity and difference, repetition and symmetry in the elements. It exists in many types of forms, from a string of beads to the layout of a page, speech and music to structures of society and even the systems of thought. We focus on the order of artworks, the visual order of Chinese ink paintings. We attempt to explore the quantified features influencing the visual order of Chinese ink paintings, including local symmetry, white space and mass center. The coefficients and correlation values collected from the linear regression model are used to evaluate the influence of the features
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