Deep Neural Networks For Full-Reference And No-Reference Audio-Visual Quality Assessment

2021 ◽  
Author(s):  
Yuqin Cao ◽  
Xiongkuo Min ◽  
Wei Sun ◽  
Guangtao Zhai
Keyword(s):  
Neural Networks ◽  
Quality Assessment ◽  
Deep Neural Networks ◽  
Visual Quality ◽  
Full Reference ◽  
Visual Quality Assessment

No-reference mesh visual quality assessment via ensemble of convolutional neural networks and compact multi-linear pooling

2020 ◽  
Vol 100 ◽  
pp. 107174 ◽  
Author(s):  
Ilyass Abouelaziz ◽  
Aladine Chetouani ◽  
Mohammed El Hassouni ◽  
Longin Jan Latecki ◽  
Hocine Cherifi
Keyword(s):  
Neural Networks ◽  
Quality Assessment ◽  
Convolutional Neural Networks ◽  
Visual Quality ◽  
Visual Quality Assessment ◽  
Linear Pooling

scholarly journals Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

2018 ◽  
Vol 27 (1) ◽  
pp. 206-219 ◽  
Author(s):  
Sebastian Bosse ◽  
Dominique Maniry ◽  
Klaus-Robert Muller ◽  
Thomas Wiegand ◽  
Wojciech Samek
Keyword(s):  
Neural Networks ◽  
Image Quality ◽  
Quality Assessment ◽  
Deep Neural Networks ◽  
Image Quality Assessment ◽  
Reference Image ◽  
Full Reference

scholarly journals Learning graph convolutional network for blind mesh visual quality assessment

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ilyass Abouelaziz ◽  
Aladine Chetouani ◽  
Mohammed El Hassouni ◽  
Hocine Cherifi ◽  
Longin Jan Latecki
Keyword(s):  
Quality Assessment ◽  
Visual Quality ◽  
Convolutional Network ◽  
Visual Quality Assessment

scholarly journals Visual Quality Assessment of Synthesized Views in the Context of 3D-TV

2012 ◽  
pp. 439-473 ◽  
Author(s):  
Emilie Bosc ◽  
Patrick Le Callet ◽  
Luce Morin ◽  
Muriel Pressigout
Keyword(s):  
Quality Assessment ◽  
Visual Quality ◽  
Visual Quality Assessment ◽  
3D Tv
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