期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：7
页码：273-282
DOI：10.14257/ijsip.2015.8.7.26
出版社：SERSC
摘要：Photograph aesthetical evaluation has been widely investigated in these decades. The most used assessing methods are mainly classical data mining methods such as SVM, ANN(Artificial Neural Network), linear programming and so on. In this paper, we presented a method based on artificial neural network and deep learning methods which is also a hot research topic recently. We downloaded a medium and a large dataset from a well-known online photograph portal and trained on them. Results showed that the accuracy of classification was above 82.1%, which was better than all state-of-the-art methods as well as a moderate result from those methods never adopted up to now
关键词：Computational aesthetics; Quality assessment and classification aesthetics ; of photography; Artificial Neural Network; Deep learning methods
