Abstract. Image aesthetic analysis is a new direction of computer vision, whose purpose is to simulate the visual perception and aesthetic criterion of human being to assess aesthetic value of a given image. Nowadays, due to the popularization of smart phones with built-in cameras, functions like automatic image management and aesthetic guidance in mobile devices are valuable and in great demand. In order to remedy the gap between the large amount of computation and the hardware limitation of mobile devices, an image aesthetic classification and evaluation system using cloud computing is built in this paper. The time consuming parts such as feature extraction and machine learning algorithms are deployed on the virtual machine in the cloud server, while the simple part such as user interface is left for client. In addition, to make full use of the cloud server, a parallel-processing strategy of feature extraction is put to use in the system The result shows that our approach achieves a promising accuracy and is well correlated with the subjective aesthetics evaluation of human. And the system is more efficient and easier to be used in mobile devices with the help of cloud computing.