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UIT-T�SG 12� C�(2021-10-12)�

UIT-T�SG 12

Performance, QoS and QoE

Periodo de estudios 2017

Reuni�n� del 2021-10-12 al 2021-10-21

Lugar : E-Meeting

Otras reuniones : 2021-05-042021-01-062020-09-072020-04-152019-11-262019-09-042019-05-072018-11-272018-05-012018-02-152017-09-192017-01-10

Resultados :10 documentos
Contribuciones �[�AI/Cuesti�n:�Q14/12�]���Documents / Contributions

N�mero
T�tulo Origen AI/Cuesti�n
Fecha
[ 609 ]
Input to PSTR.OUTLAB - Some observations when conducting video subjective tests in a web browser � Dolby Laboratories (United States) Q7/12, Q14/12 2021-09-29
[ 603 ]
Progress report of the P.BBQCG work item � 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) Q14/12 2021-09-29
[ 589 ]
Crowdsourcing passive test method for the development of a bitstream-based quality assessment model for cloud gaming services, P.BBQCG (draft 1) � Dolby Laboratories (United States) , Ilmenau University of Technology (TU Ilmenau) (Germany) , Tencent Technology (Shenzhen) Company Limited (China) Q7/12, Q15/12, Q14/12, Q10/12 2021-09-29
[ 588 ]
New indicator to reflect sudden quality variations of gaming content for P.BBQCG � Tencent Technology (Shenzhen) Company Limited (China) Q14/12 2021-09-29
[ 581 ]
G.CMVTQS on "Computational model used as a QoE/QoS monitor to assess one-to-one videotelephony services": subjective test of G.CMVTQS � China Mobile Communications Co. Ltd. , Orange (France) , Rohde & Schwarz GmbH & Co. KG (Germany) , Wuhan University (China) Q7/12, Q15/12, Q14/12, Q10/12 2021-09-27
[ 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Corrigendum withdrawn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Corrigendum withdrawn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
[ 567 ]
P.DiAQoSE model and experiment results � Nippon Telegraph and Telephone Corporation (NTT) (Japan) Q14/12 2021-09-13
Resultados :10 documentos
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