Contributions
�[�AI/Question:�Q14/12�]��� |
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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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[ 609 ]
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Input to PSTR.OUTLAB - Some observations when conducting video subjective tests in a web browser
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Dolby Laboratories (United States)
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Q7/12, Q14/12
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2021-09-29 |
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[ 603 ]
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Progress report of the P.BBQCG work item
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Dolby Laboratories (United States)
,
Ilmenau University of Technology (TU Ilmenau) (Germany)
,
Opticom GmbH (Germany)
,
Telefon AB - LM Ericsson (Sweden)
,
Tencent Technology (Shenzhen) Company Limited (China)
,
TU Berlin (Germany)
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Q14/12
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2021-09-29 |
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[ 589 ]
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Crowdsourcing passive test method for the development of a bitstream-based quality assessment model for cloud gaming services, P.BBQCG (draft 1)
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Dolby Laboratories (United States)
,
Ilmenau University of Technology (TU Ilmenau) (Germany)
,
Tencent Technology (Shenzhen) Company Limited (China)
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Q7/12, Q15/12, Q14/12, Q10/12
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2021-09-29 |
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[ 588 ]
�
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New indicator to reflect sudden quality variations of gaming content for P.BBQCG
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Tencent Technology (Shenzhen) Company Limited (China)
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Q14/12
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2021-09-29 |
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[ 581 ]
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G.CMVTQS on "Computational model used as a QoE/QoS monitor to assess one-to-one videotelephony services": subjective test of G.CMVTQS
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China Mobile Communications Co. Ltd.
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Orange (France)
,
Rohde & Schwarz GmbH & Co. KG (Germany)
,
Wuhan University (China)
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Q7/12, Q15/12, Q14/12, Q10/12
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2021-09-27 |
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[ 571 ]
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(Rev.1)� |
Proposed new work item on QoE--"Quality of Experience Monitoring Method for Video Services Based on Mobile Terminals"
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Corrigendum withdrawn
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China Mobile Communications Co. Ltd.
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Tsinghua University (China)
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Q19/12, Q14/12
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2021-09-14 |
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[ 570 ]
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(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.
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Tsinghua University (China)
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Q19/12, Q14/12
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2021-09-14 |
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[ 569 ]
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(Rev.1)� |
Proposed new work item on QoE--"Learning QoE of Mobile Video Transmission With Deep Neural Network: A Data-Driven Approach"
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Corrigendum withdrawn
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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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[ 568 ]
�
(Rev.1)� |
Proposed new work item on QoE--"Brain-Inspired Image Quality Assessment Method based on Electroencephalography Feature Learning"
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Corrigendum withdrawn
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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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[ 567 ]
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P.DiAQoSE model and experiment results
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Nippon Telegraph and Telephone Corporation (NTT) (Japan)
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Q14/12
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2021-09-13 |
Results:10 total items.
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