关键词: 国画图像, 特征提取, 支持向量机, 语义分类

Abstract: Chinese Painting（CP） is the gem of Chinese traditional arts，browsing it based on the semantic is necessary.The semantic of CP reflect mainly at color and shape.The paper according to the own features of CP，discusses the algorithm of color and shape，makes the feature of color and aim shape together，builds a new feature vector，analyzes the relationship between high-level semantic and multi low-level features based on the CP image.Semantic classification is performed by SVM，the experiment indicates that this method improves the image semantic classification precision.

Key words: image of Chinese Painting, feature extraction, SVM, semantic classification