Towards the Standardization of Stereoscopic Video Quality Assessment: An Application for Objective Algorithms

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

Multi-Scale Feature-Guided Stereoscopic Video Quality Assessment Based on 3d Convolutional Neural Network

10.1109/icassp39728.2021.9414231 ◽

2021 ◽

Author(s):

Yingjie Feng ◽

Sumei Li ◽

Yongli Chang

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Video Quality ◽

Stereoscopic Video ◽

Scale Feature ◽

Multi Scale

Stereoscopic video quality assessment based on visual attention and just-noticeable difference models

Signal Image and Video Processing ◽

10.1007/s11760-015-0802-4 ◽

2015 ◽

Vol 10 (4) ◽

pp. 737-744 ◽

Cited By ~ 23

Author(s):

Feng Qi ◽

Debin Zhao ◽

Xiaopeng Fan ◽

Tingting Jiang

Keyword(s):

Visual Attention ◽

Quality Assessment ◽

Video Quality ◽

Just Noticeable Difference ◽

A novel no-reference objective stereoscopic video quality assessment method based on visual saliency analysis

10.1117/12.2281778 ◽

2017 ◽

Author(s):

Xinyan Yang ◽

Wei Zhao ◽

Long Ye ◽

Qin Zhang

Keyword(s):

Quality Assessment ◽

Video Quality ◽

Visual Saliency ◽

Assessment Method ◽

Stereoscopic Video ◽

Quality Assessment Method ◽

Saliency Analysis

Stereoscopic video quality assessment based on stereo just-noticeable difference model

2013 IEEE International Conference on Image Processing ◽

10.1109/icip.2013.6738008 ◽

2013 ◽

Cited By ~ 10

Author(s):

Feng Qi ◽

Tingting Jiang ◽

Xiaopeng Fan ◽

Siwei Ma ◽

Debin Zhao

Keyword(s):

Quality Assessment ◽

Video Quality ◽

Just Noticeable Difference ◽

Stereoscopic Video ◽

Difference Model

The compressed average image intensity metric for stereoscopic video quality assessment

10.1117/12.2249089 ◽

2016 ◽

Author(s):

Grzegorz Wilczewski

Keyword(s):

Quality Assessment ◽

Video Quality ◽

Stereoscopic Video ◽

Image Intensity ◽

Average Image

Stereoscopic Video Quality Assessment in the context of Internet of Things

IEEE Consumer Electronics Magazine ◽

10.1109/mce.2021.3097305 ◽

2021 ◽

pp. 1-1

Author(s):

Yang Zhao ◽

Jiachen Yang ◽

Yang Shen

Keyword(s):

Internet Of Things ◽

Quality Assessment ◽

Video Quality ◽

Stereoscopic video quality assessment based on 3D convolutional neural networks

Neurocomputing ◽

10.1016/j.neucom.2018.04.072 ◽

2018 ◽

Vol 309 ◽

pp. 83-93 ◽

Cited By ~ 2

Author(s):

Jiachen Yang ◽

Yinghao Zhu ◽

Chaofan Ma ◽

Wen Lu ◽

Qinggang Meng

Keyword(s):

Neural Networks ◽

Quality Assessment ◽

Convolutional Neural Networks ◽

Video Quality ◽

3D Visual Attention Model and its Application to No-reference Stereoscopic Video Quality Assessment

Journal of the Institute of Electronics and Information Engineers ◽

10.5573/ieie.2014.51.4.110 ◽

2014 ◽

Vol 51 (4) ◽

pp. 110-122

Author(s):

Donghyun Kim ◽

Kwanghoon Sohn

Keyword(s):

Visual Attention ◽

Quality Assessment ◽

Video Quality ◽

Stereoscopic Video ◽

Visual Attention Model ◽

Attention Model

Stereoscopic Video Quality Assessment Based on The Two-step-training Binocular Fusion Network

2019 IEEE Visual Communications and Image Processing (VCIP) ◽

10.1109/vcip47243.2019.8965700 ◽

2019 ◽

Author(s):

Shuai Ma ◽

Sumei Li ◽

Jianwei Xue ◽

Yixiu Ding ◽

Guanghui Yue

Keyword(s):

Quality Assessment ◽

Video Quality ◽

Stereoscopic Video ◽

Binocular Fusion

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

A full reference stereoscopic video quality assessment metric

10.1109/icassp.2017.7952509 ◽

2017 ◽

Cited By ~ 4

Author(s):

Balasubramanyam Appina ◽

Manasa K. ◽

Sumohana S. Channappayya

Keyword(s):

Quality Assessment ◽

Video Quality ◽

Stereoscopic Video ◽

Full Reference