Deep Aesthetic Quality Assessment With Semantic Information

@article{Kao2017DeepAQ,
  title={Deep Aesthetic Quality Assessment With Semantic Information},
  author={Yueying Kao and Ran He and Kaiqi Huang},
  journal={IEEE Transactions on Image Processing},
  year={2017},
  volume={26},
  pages={1482-1495}
}
Human beings often assess the aesthetic quality of an image coupled with the identification of the image’s semantic content. This paper addresses the correlation issue between automatic aesthetic quality assessment and semantic recognition. We cast the assessment problem as the main task among a multi-task deep model, and argue that semantic recognition task offers the key to address this problem. Based on convolutional neural networks, we employ a single and simple multi-task framework to… CONTINUE READING

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