Chinese Seal Carving Aesthetic Evaluation
Article No.: 10, Pages 1 - 5
Abstract
This research presents a systematic methodology for evaluating Chinese seal carving, a traditional art form currently evaluated qualitatively. For a more objective understanding and evaluation purpose, we use quantitative methods to measure seal carving. We construct a dataset of seal carvings by eight famous artists combining statistical analysis and machine learning to produce aesthetic scores across five dimensions: Balance, Fluency, Layout, Fullness, and Similarity.
Specifically, we apply statistical approaches to calculate the Center of Gravity, Central Axis, White Space Ratio, and Line Thickness Uniformity. Additionally, we employ machine learning to distinguish Zhuwen and Baiwen scripts, estimate script completeness, and examine similarities through high-dimensional embedding. Our XGBoost trials stress specific metrics’ importance in recognising artists’ styles. Moreover, the confusion matrix analysis demonstrates master carvers’ influence on successors and Qi Baishi’s distinctive style. This study standardizes the evaluation of seal carving aesthetics and reduces subjectivity in existing approaches.
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Index Terms
- Chinese Seal Carving Aesthetic Evaluation
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Association for Computing Machinery
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Published: 11 December 2024
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VINCI 2024
VINCI '24: The 17th International Symposium on Visual Information Communication and Interaction
December 11 - 13, 2024
Hsinchu, Taiwan
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Overall Acceptance Rate 71 of 193 submissions, 37%
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