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Computational Approaches to Aesthetic Quality Assessment of Digital Photographs: State of the Art and Future Research Directives
Pattern Recognition and Image Analysis Pub Date : 2021-01-14 , DOI: 10.1134/s1054661820040082
Soma Debnath , Suvamoy Changder

Abstract

The term “Aesthetic” means the philosophy of beauty. In the field of art and photography, it relates to the artistic choice and appreciation of artistry. Computational assessment of aesthetic appeal of photographs is a highly idiosyncratic job. Because of this lot of researchers are interested in this area in present days. It is an interdisciplinary area related to computer vision, art and psychology. Since there is no universal standard for evaluation of aesthetic value, hence many common viewer believe that some certain features of a photograph play a vital role to make a photograph aesthetically pleasant. This survey focuses on a systematic audit of the newfangled techniques for the evaluation of aesthetic quality of photographs. The existing studies reveal that aesthetic quality of photographs depend on the compositional rules like Rule of Third, Golden ratio, Depth of field, and the color space features such as hue, saturation, texture. The purposes of this paper are to present current state of the art in aesthetic evaluation of photographs and provide few future research directions in this area. These future research directions are based on some interesting and unexplored rules of composition like Spiral structure, Framing, Symmetry, Pattern and others. These can be used for better assessment of aesthetic values of photographs.



中文翻译:

数码照片的美学质量评估的计算方法:最新技术和未来研究指令

摘要

术语“审美”是指美的哲学。在艺术和摄影领域,它涉及艺术选择和艺术欣赏。对照片的美学吸引力进行计算评估是一项非常特殊的工作。由于目前有很多研究人员对此领域感兴趣。它是与计算机视觉,艺术和心理学有关的跨学科领域。由于没有用于评价美学价值的通用标准,因此许多普通观众认为照片的某些特定特征对于使照片在美学上令人愉悦起着至关重要的作用。这项调查的重点是对用于评估照片美学质量的新技术的系统审核。现有研究表明,照片的美学质量取决于构图规则,例如第三规则,黄金分割率,景深以及色彩空间特征(例如色相,饱和度,纹理)。本文的目的是介绍照片美学评估的最新技术,并在该领域提供很少的未来研究方向。这些未来的研究方向基于一些有趣的,尚未探索的组成规则,例如螺旋结构,构图,对称性,图案等。这些可以用于更好地评估照片的美学价值。本文的目的是介绍照片美学评估的最新技术,并在该领域提供很少的未来研究方向。这些未来的研究方向基于一些有趣的,尚未探索的组成规则,例如螺旋结构,构图,对称性,图案等。这些可以用于更好地评估照片的美学价值。本文的目的是介绍照片美学评估的最新技术,并在该领域提供很少的未来研究方向。这些未来的研究方向基于一些有趣的,尚未探索的组成规则,例如螺旋结构,构图,对称性,图案等。这些可以用于更好地评估照片的美学价值。

更新日期:2021-01-14
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