数学与计算机科学 |
|
|
|
|
基于多尺度特征提取网络的图像美学量化评分方法 |
王欣1, 穆绍硕2, 陈华锋2 |
1.北京中盾安全技术开发公司,北京 100044 2.浙江传媒学院 媒体工程学院,浙江 杭州 310018 |
|
Quantitative scoring method of image aesthetics based on multi-scale feature extraction network |
WANG Xin1, MU Shaoshuo2, CHEN Huafeng2 |
1.Beijing Zhongdun Security Technology Development Company, Beijing 100044 2.School of Media Engineering, Communication University of Zhejiang, Hangzhou 310018, China |
1 BHATTACHARYA S,SUKTHANKAR R,SHAH M.A framework for photo-quality assessment and enhancement based on visual aesthetics[C]//Proceedings of the 18th ACM International Conference on Multimedia.Firenze:ACM,2010:271-280. DOI:10.1145/1873951.1873990 2 DHAR S,ORDONEZ V,BERG T.High level describable attributes for predicting aesthetics and interestingness[C]//The 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Colorado:IEEE,2011:1657-1664. DOI:10.1109/CVPR.2011.5995467 3 LITIAN S,TOSHIHIKO Y.Photo aesthetic quality estimation using visual complexity features[J].Multimedia Tools and Applications,2018,77(5):5189-5213. 4 TANG X O,LUO W,WANG X G.Content-based photo quality assessment[J].IEEE Transactions on Multimedia,2013,15(8):1930-1943. 5 KARAYEV S,HERTZMANN A,WINNERMOLLER H,et al. Recognizing image style[C]//Proceedings of the British Machine Vision Conference (BMVC).Guildford:BMVA Press,2014. DOI:10.5244/C.28.122 6 王伟凝,王励,赵明权,等.基于并行深度卷积神经网络的图像美感分类[J].自动化学报,2016,42(6):904-914. DOI:10.16383/j.aas.2016.c150718 WANG W N,WANG L,ZHAO M Q,et al.Image aesthetic classification using parallel deep convolutional neural networks[J].Acta Automatica Sinica,2016,42(6):904-914. DOI:10.16383/j.aas.2016.c150718 7 李素梅,常永莉,段志成.基于卷积神经网络的立体图像舒适度客观评价[J].光学学报,2018,38(6):0610003. DOI:10.3788/AOS201838.0610003 LI S M,CHANG Y L,DUAN Z C.Objective assessment of stereoscopic image comfort based on convolutional neural network[J]. Acta Optica Sinica,2018,38(6):0610003. DOI:10.3788/AOS201838. 0610003 8 SRIVASTAVA N,HINTON G E,KRIZHVSKY A,et al.Dropout:A simple way to prevent neural networks from overfitting[J].Journal of Machine Learning Research,2014,15(1):1929-1958. 9 DONG Z,SHEN X,LI H Q,et al.Photo quality assessment with DCNN that understands image well[C]//The 21st International Conference on Multimedia Modeling.Cham:Springer,2015:524-535. DOI:10.1007/978-3-319-14442-9_57 10 DONG Z,TIAN X M.Multi-level photo quality assessment with multi-view features[J].Neurocomputing,2015,168:308-319. DOI:10.1016/j.neucom.2015.05.095 11 LI Y,PU Y,XU D,et al.Image aesthetic quality evaluation using convolution neural network embedded fine-tune[J]. Optoelectronics Letters,2017(6):471-475. DOI:10.1007/978-981-10-7302-1_23 12 LU X,LIN Z,JIN H L,et al.RAPID:Rating pictorial aesthetics using deep learning[C]//The 22nd ACM International Conference on Multimedia. New York:ACM,2014:457-466. 13 KAO Y,HE R,HUANG K.Visual Aesthetic Quality Assessment with Multi-Task Deep Learning[EB/OL].[2016-08-16]. http://arxiv.org/abs/1604.04970 14 MAI L,JIN H,LIU F.Composition-preserving deep photo aesthetics assessment[C]//2016 IEEE Conference on Computer Vision and Pattern Recognitio. Las Vegas:IEEE,2016:497-506. 15 LU X,LIN Z,JIN H L,et al.Rating image aesthetics using deep learning[J].IEEE Transactions on Multimedia,2015,11(17):2021-2034. 16 HOU L,YU C P,SAMARAS M.Squared Earth Mover’s Distance-Based Loss for Training Deep Neural Networks[EB/OL].[2106-11-17].https://arxiv.org/abs/1611.05916. 17 JIN X,WU L,LI X D,et al.Predicting aesthetic score distribution through cumulative Jensen-Shannon divergence[C]//Conference on Artificial Intelligence (AAAI). New Orleans:Association for the Advancement of Artificial Intelligence,2018. 18 KONG S,SHEN X,LIN Z,et al.Photo aesthetics ranking network with attributes and content adaptation[C]//Proceedings of 14th European Conference on Computer Vision. Heidelberg:Springer-Verlag,2016:662-679. DOI:10.1007/978-3-319-46448-0_40 19 FANG H,CUI C,DENG X,et al.Image aesthetic distribution prediction with fully convolutional network[C]//The 24th International Conference on Multimedia Modeling.Cham:Springer,2018:267-278. 20 WANG Z,CHANG S,DOLCOS F,et al.Brain-Inspired Deep Networks for Image Aesthetics Assessment[EB/OL].[2016-01-16].http://arxiv.org/abs/1601.04155v2. 21 CHANG KY,LU K H,CHEN C S.Aesthetic critiques generation for photos[C]//2017 IEEE International Conference on Computer Vision (ICCV).Venice:IEEE,2017:3534-3543. DOI:10.1109/ICCV.2017.380 22 TALEBI H,PEYMAN M.NIMA:Neural image assessment[J].IEEE Transactions on Image Processing,2018,27(8):3998-4011. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|