计算机工程与应用2019，Vol.55Issue(15)：13-23,58,12.DOI:10.3778/j.issn.1002-8331.1901-0185
深度卷积神经网络在图像美学评价的应用综述
Survey of Application of Deep Convolution Neural Network in Image Aesthetic Evaluation
温坤哲 1韦玉科 1董晓华1
作者信息
- 1. 广东工业大学 计算机学院,广州 510006
- 折叠
摘要
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 develop-ment 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.关键词
深度学习/图像美学评价/深度卷积神经网络Key words
deep learning/ image aesthetic evaluation/ deep convolution neural network分类
信息技术与安全科学引用本文复制引用
温坤哲,韦玉科,董晓华..深度卷积神经网络在图像美学评价的应用综述[J].计算机工程与应用,2019,55(15):13-23,58,12.
