원문정보
초록
영어
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.
목차
1. Introduction
2. Related work
3. Proposed Method
3.1. Feature extraction
3.2. Artificial Neural Network
3.3. Autoencoder
3.4 Quality Assessment and Classification
4. Experiment Result
4.1 Database Collection
4.2 Experimental Results
5. Conclusion
Acknowledgements
References