Analysis and Retrieval of Paintings Using Artistic Color Concepts
Analysis and Retrieval of Paintings Using Artistic Color Concepts
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运用艺术色彩概念对绘画进行分析与检索
DOI：
10.1109/icme.2005.1521654
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Aristarkhova Irina
中科院分区：
文献类型：
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作者：
Marchenko Yelizaveta;Chua Tat;Aristarkhova Irina
传统的艺术色彩概念在艺术品分析中起着重要的作用，为绘画作品的分析和准确检索提供了有价值的领域知识。本文提出了一种自动化的方法来分析和表示绘画领域的艺术色彩概念，如色温，调色板和色彩对比。颜色概念的定义依赖于广泛接受的Itten颜色理论。我们的方法从绘画中提取均匀的颜色/纹理区域开始，并采用图像处理和机器学习技术来表征艺术色彩概念的区域。我们使用1,000幅绘画作品的集合来评估所提出的方法，这些绘画作品展示了各种各样的绘画风格和艺术色彩概念。实验表明，我们的方法表现良好的各种空间和非空间的艺术色彩概念查询
Traditionally artistic color concepts play an important role in the analysis of artworks, and provide valuable domain knowledge to guide the analysis and accurate retrieval of paintings. This paper presents an automated approach to analyzing and representing artistic color concepts such as color temperature, color palette and color contrasts in paintings domain. The color concept definitions rely on the widely accepted color theory of Itten. Our approach starts with the extraction of homogeneous color/texture regions from paintings, and employs image processing and machine learning techniques to characterize regions in terms of artistic color concepts. We evaluate the proposed method using collection of 1,000 paintings, which exhibit vast variety of painting styles and artistic color concepts. Experiments show that our method performs well for a vast variety of both spatial and non-spatial artistic color concept queries