Contributions
�[�AI/Question:�Q19/12�]��� |
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Number�
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Title
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Source
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AI/Question
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Date
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[ 591 ]
�
� |
Comparison Between the Discrete ACR Scale and an Extended Continuous Scale for Video Quality Assessment
�
� |
Dolby Laboratories (United States)
,
TU Berlin (Germany)
� |
Q7/12, Q19/12
� |
2021-09-29 |
|
[ 583 ]
�
(Rev.1)� |
Feasibility of Deep Learning Methods for Source Quality Monitoring at the Headend
�
� |
Korea (Rep. of)
� |
Q19/12
� |
2021-09-28 |
|
[ 576 ]
�
� |
Update ITU-T Rec. P.910 with subjective experiment data analysis
�
� |
Netflix Inc. (United States)
� |
Q19/12
� |
2021-09-25 |
|
[ 571 ]
�
(Rev.1)� |
Proposed new work item on QoE--"Quality of Experience Monitoring Method for Video Services Based on Mobile Terminals"
�
Corrigendum withdrawn
� |
China Mobile Communications Co. Ltd.
,
Tsinghua University (China)
� |
Q19/12, Q14/12
� |
2021-09-14 |
|
[ 570 ]
�
(Rev.1-2)� |
Proposed new work item on QoE--"Perceptual Image Restoration with Generative Models and Degradation Learning"
�
� |
China Mobile Communications Co. Ltd.
,
Tsinghua University (China)
� |
Q19/12, Q14/12
� |
2021-09-14 |
|
[ 569 ]
�
(Rev.1)� |
Proposed new work item on QoE--"Learning QoE of Mobile Video Transmission With Deep Neural Network: A Data-Driven Approach"
�
Corrigendum withdrawn
� |
China Mobile Communications Co. Ltd.
,
Tsinghua University (China)
� |
Q19/12, Q14/12
� |
2021-09-14 |
|
[ 568 ]
�
(Rev.1)� |
Proposed new work item on QoE--"Brain-Inspired Image Quality Assessment Method based on Electroencephalography Feature Learning"
�
Corrigendum withdrawn
� |
China Mobile Communications Co. Ltd.
,
Tsinghua University (China)
� |
Q19/12, Q14/12
� |
2021-09-14 |
Results:7 total items.
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