Contributions
[ AI/Question: Q19/12 ] |
|
Number
|
Title
|
Source
|
AI/Question
|
Date
|
|
[ 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Corrigendum withdrawn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Corrigendum withdrawn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Corrigendum withdrawn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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