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.