Image aesthetic quality evaluation using convolution neural network embedded learning

• Published in: Optoelectronics letters Vol. 13; no. 6; pp. 471 - 475
• Main Author: 李雨鑫;普园媛;徐丹;钱文华;王立鹏
• Format: Journal Article
• Language: English
• Published: Tianjin Tianjin University of Technology 01.11.2017; Springer Nature B.V
• Subjects: Classification; Convolution; Image classification; Image quality; Lasers; Neural networks; Optical Devices; Optics; Photonics; Physics; Physics and Astronomy; Quality; Quality assessment; Tuning; A

A way of embedded learning convolution neural network（ELCNN） based on the image content is proposed to evaluate the image aesthetic quality in this paper. Our approach can not only solve the problem of small-scale data but also score the image aesthetic quality. First, we chose Alexnet and VGG_S to...