A System of Image Aesthetic Classification and Evaluation Using Cloud Computing
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.
Image aesthetics Feature extraction Cloud computing Aesthetic classification Aesthetic evaluation
Weining Wang Jiancong Liu Weijian Zhao Jiachang Li
School of Electronic and Information,South China of University of Technology,510640,China
国际会议
Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)
长沙
英文
183-195
2014-11-01（万方平台首次上网日期，不代表论文的发表时间）