关键词: 深度学习, 图像美学评价, 深度卷积神经网络

Abstract: With the development of deep learning in recent years, image aesthetic evaluation has gradually become a new hot research topic. The application of deep convolution neural network in image aesthetic evaluation has successfully achieved considerable development results and has attracted wide attention. In order to solve the problems of incomplete literature survey and insufficient understanding of the development of this technology, this paper elaborates its development in detail from the perspectives of global perception and local perception, personalized query, combination of extracting handcrafted features and deep convolution neural network. The application of image aesthetics evaluation, image clipping and tool application are also discussed. The future work is prospected from the perspectives of fully combining multi-scene, skillfully using composition rules, and establishing aesthetic image data sets in advance.

Key words: deep learning, image aesthetic evaluation, deep convolution neural network