Contributions
[ AI/Question: Q19/12 ]  |
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Numéro
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Titre
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Source
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AI/Question
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Date
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[ 591 ]
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Comparison Between the Discrete ACR Scale and an Extended Continuous Scale for Video Quality Assessment
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Dolby Laboratories (United States)
,
TU Berlin (Germany)
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Q7/12, Q19/12
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2021-09-29 |
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[ 583 ]
(Rev.1) |
Feasibility of Deep Learning Methods for Source Quality Monitoring at the Headend
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Korea (Rep. of)
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Q19/12
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2021-09-28 |
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[ 576 ]
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Update ITU-T Rec. P.910 with subjective experiment data analysis
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Netflix Inc. (United States)
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Q19/12
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2021-09-25 |
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[ 571 ]
(Rev.1) |
Proposed new work item on QoE--"Quality of Experience Monitoring Method for Video Services Based on Mobile Terminals"
Corrigendum withdrawn
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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"
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China Mobile Communications Co. Ltd.
,
Tsinghua University (China)
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Q19/12, Q14/12
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2021-09-14 |
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[ 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Corrigendum withdrawn
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China Mobile Communications Co. Ltd.
,
Tsinghua University (China)
|
Q19/12, Q14/12
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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
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2021-09-14 |
Resultats:7 documents
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