Brushstroke based sparse hybrid convolutional neural networks for author classification of Chinese ink-wash paintings

@article{Sun2015BrushstrokeBS,
  title={Brushstroke based sparse hybrid convolutional neural networks for author classification of Chinese ink-wash paintings},
  author={Meijun Sun and Dong Zhang and Jinchang Ren and Zheng Wang and Jesse S. Jin},
  journal={2015 IEEE International Conference on Image Processing (ICIP)},
  year={2015},
  pages={626-630}
}
A novel stroke based sparse hybrid convolutional neural networks (CNNs) method is proposed for author classification of Chinese ink-wash paintings (IWPs). As Chinese IWPs usually have many authors in several art styles, this differs from real images or western paintings and has led to a big challenge. In our work, we classify Chinese IWPs of different artists by analyzing a set of automatically extracted brushstrokes. A sparse hybrid CNNs in a deep-learning framework is then proposed to extract… CONTINUE READING

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