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 ]
�
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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)
� |
Q19/12
� |
2021-09-28 |
|
[ 576 ]
�
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Update ITU-T Rec. P.910 with subjective experiment data analysis
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� |
Netflix Inc. (United States)
� |
Q19/12
� |
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Corrigendum withdrawn
� |
China Mobile Communications Co. Ltd.
,
Tsinghua University (China)
� |
Q19/12, Q14/12
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2021-09-14 |
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[ 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)
� |
Q19/12, Q14/12
� |
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Corrigendum withdrawn
� |
China Mobile Communications Co. Ltd.
,
Tsinghua University (China)
� |
Q19/12, Q14/12
� |
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"
�
Corrigendum withdrawn
� |
China Mobile Communications Co. Ltd.
,
Tsinghua University (China)
� |
Q19/12, Q14/12
� |
2021-09-14 |
|
[ 544 ]
�
� |
Deep Learning Methods for J.src-vq and J.op-tr
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Korea (Rep. of)
� |
Q19/12
� |
2021-04-22 |
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[ 543 ]
�
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NR video quality measurement method based on deep learning
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Korea (Rep. of)
� |
Q19/12
� |
2021-04-22 |
|
[ 524 ]
�
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Improvements on subjective experiment data analysis process: Update
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Netflix Inc. (United States)
� |
Q19/12
� |
2021-04-18 |
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[ 487 ]
�
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Subjective Experiment Analysis
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Ilmenau University of Technology (TU Ilmenau) (Germany)
,
Rohde & Schwarz GmbH & Co. KG (Germany)
� |
Q7/12, Q19/12
� |
2020-04-02 |
|
[ 470 ]
�
(Rev.1)� |
Improvements on subjective experiment data analysis process
�
� |
Netflix Inc. (United States)
� |
Q7/12, Q19/12
� |
2020-04-01 |
|
[ 466 ]
�
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Progressing J.vqm-hevc and J.343-rev
�
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Korea (Rep. of)
� |
Q19/12
� |
2020-04-01 |
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[ 439 ]
�
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Dimension-based Subjective Quality Evaluation for Video Content (P.VQD)
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TU Berlin (Germany)
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Q7/12, Q19/12
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2019-11-13 |
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[ 438 ]
�
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Dimension Measurement of the Perceptual Video Quality Space
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TU Berlin (Germany)
� |
Q7/12, Q19/12
� |
2019-11-13 |
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[ 430 ]
�
(Rev.1)� |
Technical Report - No reference video quality estimation algorithm
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Telefon AB - LM Ericsson (Sweden)
� |
Q19/12, Q14/12
� |
2019-11-13 |
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[ 405 ]
�
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UHD Signal Quality Measurements
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Korea (Rep. of)
� |
Q19/12
� |
2019-11-11 |
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[ 404 ]
�
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Source Video Quality Monitoring
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� |
Korea (Rep. of)
� |
Q19/12
� |
2019-11-11 |
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[ 403 ]
�
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Usability of Video Quality Models for Deciding Optimal Bitrate and Transmission Resolution
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� |
Korea (Rep. of)
� |
Q19/12
� |
2019-11-11 |
|
[ 402 ]
�
� |
J.noref model development
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� |
Korea (Rep. of)
� |
Q19/12, Q14/12
� |
2019-11-11 |
|
[ 362 ]
�
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Quality Modelling of Audio, Video and Overall Quality Using Perceptual Quality Dimensions in a Video Telephony Context
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TU Berlin (Germany)
� |
Q7/12, Q19/12
� |
2019-04-23 |
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[ 348 ]
�
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Number of viewers and MOS values
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Korea (Rep. of)
� |
Q19/12
� |
2019-04-23 |
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[ 347 ]
�
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Subjective test results on HDR perceptual video quality of mobile VR devices
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Korea (Rep. of)
� |
Q19/12, Q18/12
� |
2019-04-23 |
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[ 292 ]
�
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Investigation of Video Quality Dimensions for different Video Content
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Deutsche Telekom AG (Germany)
� |
Q7/12, Q19/12
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2018-11-14 |
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[ 291 ]
�
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Proposal for a Draft New Recommendation on Dimension-based Subjective Quality Evaluation for Video Content
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Deutsche Telekom AG (Germany)
� |
Q7/12, Q19/12
� |
2018-11-14 |
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[ 288 ]
�
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Performance Analysis of RST-V Model of J.343.1
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Rohde & Schwarz GmbH & Co. KG (Germany)
� |
Q19/12
� |
2018-11-14 |
|
[ 270 ]
�
(Rev.1)� |
Influence on multiple comparison on evaluation of objective quality metrics and the number of test subjects
�
� |
Deutsche Telekom AG (Germany)
,
Telefon AB - LM Ericsson (Sweden)
� |
Q19/12, Q14/12
� |
2018-11-13 |
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[ 263 ]
�
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Perceptual video quality of various tone mapping(TM) methods for mobile displays
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Korea (Rep. of)
� |
Q19/12, Q18/12
� |
2018-11-13 |
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[ 262 ]
�
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Perceptual quality measurements for tone-mapped HDR images
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Korea (Rep. of)
� |
Q19/12, Q18/12
� |
2018-11-13 |
|
[ 165 ]
�
� |
Influence of video resolution & frame rate on perceived quality for videotelephony applications
�
� |
Orange
� |
Q19/12, Q11/12
� |
2018-04-16 |
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[ 164 ]
�
� |
Test Vectors for the J.343 Family of Recommendations
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Rohde & Schwarz GmbH & Co. KG
� |
Q19/12
� |
2018-04-16 |
|
[ 163 ]
�
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Test Vectors for J.343 Implementation
�
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Korea (Rep. of)
� |
Q19/12
� |
2018-04-16 |
|
[ 162 ]
�
(Rev.1)� |
Perceptual Video Quality of UHD Signals at Various Bitrates and Transmission Resolution
�
� |
Korea (Rep. of)
� |
Q19/12, Q18/12
� |
2018-04-16 |
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[ 106 ]
�
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Optimizing Bitrates and Transmission Resolution for Mobile Displays Based on Perceptual Video Quality
�
� |
Korea (Rep. of)
� |
Q19/12
� |
2017-09-05 |
|
[ 95 ]
�
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Perceptual dimensions of video quality in the context of video-telephony: Methodology, Experiments, Analysis
�
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Deutsche Telekom AG
� |
Q7/12, Q19/12
� |
2017-09-04 |
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[ 86 ]
�
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Results and analysis of two passive subjective tests of audiovisual quality of videotelephony contents in presence of asynchronism between sound and image conducted following respectively the P.911 procedure and a crowdsourcing approach
�
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Orange
� |
Q7/12, Q19/12
� |
2017-08-31 |
|
[ 67 ]
�
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Optimizing Bitrates and Transmission Resolution by Considering Display Characteristics
�
� |
Korea (Rep. of)
� |
Q19/12
� |
2016-12-23 |
Results:37 total items.
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