[论文解读] Understanding the Historic Emergence of Diversity in Painting via Color Contrast.

Byunghwee Lee, Daniel Kim+3 more|arXiv (Cornell University)|Jan 25, 2017

Aesthetic Perception and Analysis被引用 3

一句话总结

本文提出一种定量框架，通过分析179,853幅绘画中的色彩对比度与像素级几何分离，研究艺术风格的演变。研究揭示了现代时期视觉多样性与个性化的显著增长，展示了大规模数据与统计方法如何揭示艺术史中深层的文化与审美转变。

ABSTRACT

Painting is an art form that has long functioned as major channel for communication and creative expression. Understanding how painting has evolved over the centuries is therefore an essential component for understanding cultural history, intricately linked with developments in aesthetics, science, and technology. The explosive growth in the ranges of stylistic diversity in painting starting in the nineteenth century, for example, is understood to be the hallmark of a stark departure from traditional norms on multidisciplinary fronts. Yet, there exist few quantitative frameworks that allow us to characterize such developments on an extensive scale, which would require both robust statistical methods for quantifying the complexities of artistic styles and data of sufficient quality and quantity to which we can fruitfully apply them. Here we propose an analytical framework that allows us to capture the stylistic evolution of paintings based on the color contrast relationships that also incorporates the geometric separation between pixels of images in a large-scale archive of 179,853 images. We first measure how paintings have evolved over time, and then characterize the remarkable explosive growth in diversity and individuality in the modern era. Our analysis demonstrates how robust scientific methods married with large-scale, high-quality data can reveal interesting patterns that lie behind the complexities of art and culture.

研究动机与目标

• 开发一种可扩展的、数据驱动的框架，用于分析数个世纪以来绘画风格的演变。
• 解决缺乏稳健的定量方法来表征大规模艺术多样性与风格变迁的问题。
• 研究美学、科学与技术的发展如何影响自19世纪以来绘画风格的转变。
• 利用高质量图像数据与统计建模，揭示艺术多样性与个性化的模式。

提出的方法

• 该框架分析高分辨率数字图像中像素之间的色彩对比度关系。
• 通过引入像素间的几何分离，捕捉色彩对比度的空间分布特征。
• 该方法应用于涵盖多个历史时期的179,853幅绘画的大型档案库。
• 使用统计建模量化随时间推移色彩对比度模式的变化。
• 通过测量色彩对比度分布的范围与复杂性，追踪视觉多样性与个性化的转变。
• 该方法使不同艺术流派与时代之间的风格趋势实现纵向比较成为可能。

实验结果

研究问题

• RQ1 绘画中的色彩对比度多样性在不同历史时期如何演变？
• RQ2 19世纪及现代艺术中观察到的显著风格多样化背后存在哪些定量模式？
• RQ3 像素间的几何关系在多大程度上影响绘画风格个性化的感知？
• RQ4 大规模数据与统计方法能否揭示与文化与技术变革相关的艺术表达系统性转变？

主要发现

• 分析揭示了现代时期视觉多样性出现显著且爆炸性的增长，尤其自19世纪以来。
• 色彩对比度模式显示出向现代与当代绘画中更高复杂性与可变性的可测量转变。
• 该框架成功通过色彩对比度与空间分布的可量化变化，捕捉到个性化艺术风格的出现。
• 结果表明，对大型图像档案进行稳健的统计分析，能够揭示艺术史中深层的文化与审美转变。