Face image quality assessment for face selection in surveillance video using convolutional neural networks

Face Image ◽

Surveillance Video

Advances in Multimedia Information Processing – PCM 2018 - Lecture Notes in Computer Science ◽

A Data-Driven No-Reference Image Quality Assessment via Deep Convolutional Neural Networks

10.1007/978-3-030-00767-6_34 ◽

2018 ◽

pp. 361-371

Author(s):

Yezhao Fan ◽

Yuchen Zhu ◽

Guangtao Zhai ◽

Jia Wang ◽

Jing Liu

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Deep Convolutional Neural Networks

Data Driven ◽

Reference Image ◽

No-reference image quality assessment with deep convolutional neural networks

2016 IEEE International Conference on Digital Signal Processing (DSP) ◽

10.1109/icdsp.2016.7868646 ◽

2016 ◽

Cited By ~ 25

Author(s):

Yuming Li ◽

Lai-Man Po ◽

Litong Feng ◽

Fang Yuan

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Deep Convolutional Neural Networks

Reference Image ◽

No-Reference Image Quality Assessment Based on Multi-scale Convolutional Neural Networks

Advances in Intelligent Systems and Computing - Intelligent Computing ◽

10.1007/978-3-030-22868-2_84 ◽

2019 ◽

pp. 1202-1216

Author(s):

Peikun Chen ◽

Yuzhen Niu ◽

Dong Huang

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Reference Image ◽

Multi Scale

Context-dependent image quality assessment of JPEG compressed Mars Science Laboratory Mastcam images using convolutional neural networks

Computers & Geosciences ◽

10.1016/j.cageo.2018.06.001 ◽

2018 ◽

Vol 118 ◽

pp. 109-121 ◽

Cited By ~ 6

Author(s):

Hannah R. Kerner ◽

James F. Bell ◽

Heni Ben Amor

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Science Laboratory ◽

Mars Science Laboratory ◽

Context Dependent

No-reference image quality assessment using Prewitt magnitude based on convolutional neural networks

Signal Image and Video Processing ◽

10.1007/s11760-015-0784-2 ◽

2015 ◽

Vol 10 (4) ◽

pp. 609-616 ◽

Cited By ~ 40

Author(s):

Jie Li ◽

Lian Zou ◽

Jia Yan ◽

Dexiang Deng ◽

Tao Qu ◽

...

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Stereoscopic image quality assessment via convolutional neural networks

2017 International Smart Cities Conference (ISC2) ◽

10.1109/isc2.2017.8090873 ◽

2017 ◽

Cited By ~ 6

Author(s):

Qingbing Sang ◽

Tingting Gu ◽

Chaofeng Li ◽

Xiaojun Wu

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Stereoscopic Image

A Pre-Saliency Map Based Blind Image Quality Assessment via Convolutional Neural Networks

2017 IEEE International Symposium on Multimedia (ISM) ◽

10.1109/ism.2017.21 ◽

2017 ◽

Cited By ~ 5

Author(s):

Zhengxue Cheng ◽

Masaru Takeuchi ◽

Jiro Katto

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Saliency Map ◽

Blind Image Quality Assessment ◽

Blind Image

Convolutional Neural Networks for No-Reference Image Quality Assessment

2014 IEEE Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2014.224 ◽

2014 ◽

Cited By ~ 290

Author(s):

Le Kang ◽

Peng Ye ◽

Yi Li ◽

David Doermann

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

No Reference Image Quality Assessment based on Multi-Expert Convolutional Neural Networks

IEEE Access ◽

10.1109/access.2018.2802498 ◽

2018 ◽

Vol 6 ◽

pp. 8934-8943 ◽

Cited By ~ 16

Author(s):

Chunling Fan ◽

Yun Zhang ◽

Liangbing Feng ◽

Qingshan Jiang

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Evaluating Convolutional Neural Networks for No -Reference Image Quality Assessment

10.1109/icspis53734.2021.9652176 ◽

2021 ◽

Author(s):

Kyriakos D. Apostolidis ◽

Theodore Polyzos ◽

Ioannis Grigoriadis ◽

George A. Papakostas

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽