视觉艺术的计算美学:回顾与展望

Pu Meng, Yueqi Liu, Liqun Zhang, Xiaodong Li
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摘要

美一直是人类活动的目标。美的意义是在美的创造过程中被定义的。数学家对美的讨论创造了计算美学。本文回顾了视觉艺术计算美学的相关研究成果,总结了美学测量的特点。从视觉艺术作品中提取的特征分为视觉特征、构成特征、统计特征、感性特征和艺术特征五类。基于这些特征,对视觉图像进行了量化,并对其美学和艺术属性进行了分析。以往的研究多集中在艺术生产的美学上,无法再现艺术创作的连续过程。此外,新的视觉艺术形式如生成艺术的出现,为计算美学领域提供了新的机遇和挑战。对这种新的视觉艺术形式的评估算法的前景将给出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational Aesthetics of Visual Artworks: Review and Outlook
Beauty has always been the goal of human activity. The meaning of beauty is defined during its creation. The discussion of beauty by mathematicians has created the computational aesthetics. This paper reviews the related works in computational aesthetics of visual arts and summarizes the features used in aesthetic measurement. The features extracted from the visual artworks are divided into five types including visual, compositional, statistical, perceptual and artistic features. Based on those features, the visual images are quantified and analyzed on their aesthetic and artistic properties. The previous studies are mostly focused on the aesthetics of art production, the continuous process for artistic creation cannot be represented. Moreover, new forms of visual arts such as generative art emerged, which provide new opportunities and challenges to the field of computational aesthetics. A prospective on the algorithms for the evaluation of this new forms of visual arts will be given.
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