可计算图像美学研究目的是希望计算机能够模拟人类的视觉系统与审美思维对图像进行美学价值的判断。其研究成果可以应用到融合主观感知的基于语义的图像检索、图像美学质量评估、图像的美学修正、摄影的美学预测、艺术作品风格分析、人机交互等方面。该研究涉及美学、艺术、认知科学、计算机科学、心理学等多个学科,属于多学科交叉的创新性前沿研究课题,具有重要的理论研究价值和应用前景。总结国际上最新研究成果,对该研究的常用方法和存在问题进行了系统的分析及综述,给出了可计算图像美学分析研究的一般框架,对图像的审美度量、美学视觉特征提取和美学推导等关键技术,以及图像美学的应用与发展前景等进行了详细讨论,并且针对当前研究存在的问题提出关键的解决方案。

The purpose of the computational image aesthetics research is to endow computer with the ability to assess the aesthetics value of images as human beings do. The results can be used in many fields, for example semantic-based image retrieval, fusing the subjective perception, image aesthetics evaluation, image aesthetics retouching, photograph aesthetics prediction, art works style analysis and man-machine interaction. Computational image aesthetics is a new interdisciplinary advanced topic with good developing prospect, while it involves different subjects, including Aesthetics, Art, Cognitive Science, Computer Science, Psychology, and so on. In this paper, the latest achievements of the computation image aesthetics research are introduced at first, then a general framework of the computational image aesthetics is proposed after the analysis and summary of methods commonly applied in this field. Additionally,we point out the exiting problems and we discuss including image aesthetics measurement, extraction of aesthetics vision features, aesthetics deduction, and also the application and future developments of image aesthetics. Furthermore, some crucial solutions are pointed out to solve the exiting problems.