Hierarchical aesthetic quality assessment using deep convolutional neural networks

作者：

Highlights：

• Propose an aesthetic quality assessment framework by dividing images into 3 categories.

• Three specific CNNs and an A&C CNN are constructed for aesthetic features learning.

• Different models for each CNN are developed to predict aesthetic class and score.

摘要

Highlights•Propose an aesthetic quality assessment framework by dividing images into 3 categories.•Three specific CNNs and an A&C CNN are constructed for aesthetic features learning.•Different models for each CNN are developed to predict aesthetic class and score.

论文关键词：Aesthetic image analysis,Convolutional neural networks,Scene,Object,Texture

论文评审过程：Received 14 October 2015, Revised 5 May 2016, Accepted 5 May 2016, Available online 9 May 2016, Version of Record 29 September 2016.

论文官网地址：https://doi.org/10.1016/j.image.2016.05.004