在复杂度-熵平面中研究当代用户生成视觉艺术的多样性与风格化
Investigating the diversity and stylization of contemporary user generated visual arts in the complexity entropy plane
AI总结:
本文利用复杂度-熵平面分析2010至2020年DeviantArt和Behance平台149,780幅用户生成视觉艺术图像,结合深度神经网络特征,揭示了新兴风格在C-H平面中兼具新颖性与更高多样性的经验条件。
摘要:
近年来,计算与数值方法的出现为分析艺术史学叙事以及追溯其中艺术风格的演变提供了新途径。在此,我们利用复杂度-熵(C-H)平面研究支撑当代用户生成视觉艺术风格出现与风格化的演化过程,该平面可量化绘画中的局部结构。我们将2010年至2020年间在DeviantArt和Behance平台上收集的149,780幅图像信息化,分析了C-H空间的局部信息与由深度神经网络和特征提取算法生成的多层次图像特征之间的关系。结果表明,在艺术作品群体内部,视觉艺术风格的C-H信息与多层次图像特征随时间的差异性之间存在显著的统计关系。通过揭示一个特定的C-H区域,其中图像表示的多样性显著显现,我们的分析揭示了新兴风格的一种经验条件:这些风格在C-H平面中既具有新颖性,又以更大的风格多样性为特征。我们的研究表明,视觉艺术分析与受物理学启发的方法及机器学习相结合,能够从宏观层面提供洞见,定量刻画支撑特定群体和时期未知视觉艺术创造性风格化的演化过程的相关特征。
英文摘要:
The advent of computational and numerical methods in recent times has provided new avenues for analyzing art historiographical narratives and tracing the evolution of art styles therein. Here, we investigate an evolutionary process underpinning the emergence and stylization of contemporary user-generated visual art styles using the complexity-entropy (C-H) plane, which quantifies local structures in paintings. Informatizing 149,780 images curated in DeviantArt and Behance platforms from 2010 to 2020, we analyze the relationship between local information of the C-H space and multi-level image features generated by a deep neural network and a feature extraction algorithm. The results reveal significant statistical relationships between the C-H information of visual artistic styles and the dissimilarities of the multi-level image features over time within groups of artworks. By disclosing a particular C-H region where the diversity of image representations is noticeably manifested, our analyses reveal an empirical condition of emerging styles that are both novel in the C-H plane and characterized by greater stylistic diversity. Our research shows that visual art analyses combined with physics-inspired methodologies and machine learning, can provide macroscopic insights into quantitatively mapping relevant characteristics of an evolutionary process underpinning the creative stylization of uncharted visual arts of given groups and time.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。