Aesthetic guided deep regression network for image cropping

作者：

Highlights：

• Learn the relationship between interested objects and optimal cropping window.

• Accomplish the image cropping with high efficiency.

• Investigate different saliency detection approaches for improving image cropping performance.

摘要

•Learn the relationship between interested objects and optimal cropping window.•Accomplish the image cropping with high efficiency.•Investigate different saliency detection approaches for improving image cropping performance.

论文关键词：Image composition,Deep neural networks,Regression

论文评审过程：Received 2 October 2018, Revised 9 April 2019, Accepted 22 May 2019, Available online 28 May 2019, Version of Record 30 May 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.05.010