Image aesthetic quality evaluation using convolution neural network embedded learning

Yu-xin LI; Yuan-yuan PU; Dan XU; Wen-hua QIAN; Li-peng WANG

doi:10.1007/s11801-017-7203-6

[1] R Datta, D Joshi and J Li, Studying Aesthetics in Photographic Images Using a Computational Approach, European Conference on Computer Vision, 288 (2006).

[2] W Luo, X Wang and X Tang, Content-Based Photo Quality Assessment, IEEE International Conference on Computer Vision, 2206 (2011).

[3] J Shao and Y Zhou, Journal of Computational Information Systems 9, 3209 (2013).

[4] S Dhar, V Ordonez and L T Berg, High Level Describable Attributes for Predicting Aesthetics and Interestingness, IEEE Conference on Computer Vision and Pattern Recognition, 1657 (2011).

[5] P Obrador, L Schmidt-Hackenberg and N Oliver, The role of Image Composition in Image Aesthetics, IEEE International Conference on Image Processing, 3185 (2010).

[6] C Wang, Y Pu and D Xu, Evaluating aesthetics quality in scenery images, National Conference on Multimedia Technology, 141 (2015).

[7] C Wang, Y Pu, D Xu, J Zhu and Z Tao, Journal of Software 26, 20 (2015). (in Chinses)

[8] X Lu, Z Lin, H Jin, J Yang and J Wang, RAPID: Rating Pictorial Aesthetics using Deep Learning, 22nd ACM international conference on Multimedia, 457 (2014).

[9] L Guo L and F Li, Image Aesthetic Evaluation Using Paralleled Deep Convolution Neural Network, ar- Xiv:1505.05225, Computer Science, 2015.

[10] Zhou Y, Lu X, Zhang J and Wang J, Joint Image and Text Representation for Aesthetics Analysis, ACM on Multimedia Conference, 262 (2016).

[11] Z Dong, X Shen, H Li and X Tian, Photo Quality Assessment with DCNN that Understands Image Well, International Conference on Multimedia Modeling, 524 (2015).

[12] X Tian, Z Dong, K Yang and T Mei, IEEE Transactions on Multimedia 17, 2035 (2015).

[13] N Murray, L Marchesotti and F Perronnin, AVA: A Large-Scale Database for Aesthetic Visual Analysis, IEEE Conference on Computer Vision and Pattern Recognition, 2408 (2012).

[14] Hui-qiang Geng, Hua Zhang, Yan-bing Xue, Mian Zhou, Guang-ping Xu and Zan Gao, Optoelectronics Letters 13, 381 (2017).

[15] Fang Xu and Jing-hong Liu, Optoelectronic Letters 12, 473 (2016).

[16] A Krizhevsky, I Sutskever and G Hinton, ImageNet Classification with Deep Convolutional Neural Networks, International Conference on Neural Information Processing Systems, 1097 (2012).

[17] K Chatfield, K Simonyan, A Vedaldi and A Zisserman, Return of the Devil in the Details: Delving Deep into Convolutional Nets, arXiv:1405.3531, Computer Science, 2014.

[18] Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick, S Guadarrama and T Darrell, Caffe: Convolutional Architecture for Fast Feature Embedding, 22nd ACM International Conference on Multimedia, 675 (2014).