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Corrigendum withdrawn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Corrigendum withdrawn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Corrigendum withdrawn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 |
|
[ 544 ]
|
Deep Learning Methods for J.src-vq and J.op-tr
|
Korea (Rep. of)
|
Q19/12
|
2021-04-22 |
|
[ 543 ]
|
NR video quality measurement method based on deep learning
|
Korea (Rep. of)
|
Q19/12
|
2021-04-22 |
|
[ 524 ]
|
Improvements on subjective experiment data analysis process: Update
|
Netflix Inc. (United States)
|
Q19/12
|
2021-04-18 |
|
[ 487 ]
|
Subjective Experiment Analysis
|
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 ]
|
Progressing J.vqm-hevc and J.343-rev
|
Korea (Rep. of)
|
Q19/12
|
2020-04-01 |
|
[ 439 ]
|
Dimension-based Subjective Quality Evaluation for Video Content (P.VQD)
|
TU Berlin (Germany)
|
Q7/12, Q19/12
|
2019-11-13 |
|
[ 438 ]
|
Dimension Measurement of the Perceptual Video Quality Space
|
TU Berlin (Germany)
|
Q7/12, Q19/12
|
2019-11-13 |
|
[ 430 ]
(Rev.1) |
Technical Report - No reference video quality estimation algorithm
|
Telefon AB - LM Ericsson (Sweden)
|
Q19/12, Q14/12
|
2019-11-13 |
|
[ 405 ]
|
UHD Signal Quality Measurements
|
Korea (Rep. of)
|
Q19/12
|
2019-11-11 |
|
[ 404 ]
|
Source Video Quality Monitoring
|
Korea (Rep. of)
|
Q19/12
|
2019-11-11 |
|
[ 403 ]
|
Usability of Video Quality Models for Deciding Optimal Bitrate and Transmission Resolution
|
Korea (Rep. of)
|
Q19/12
|
2019-11-11 |
|
[ 402 ]
|
J.noref model development
|
Korea (Rep. of)
|
Q19/12, Q14/12
|
2019-11-11 |
|
[ 362 ]
|
Quality Modelling of Audio, Video and Overall Quality Using Perceptual Quality Dimensions in a Video Telephony Context
|
TU Berlin (Germany)
|
Q7/12, Q19/12
|
2019-04-23 |
|
[ 348 ]
|
Number of viewers and MOS values
|
Korea (Rep. of)
|
Q19/12
|
2019-04-23 |
|
[ 347 ]
|
Subjective test results on HDR perceptual video quality of mobile VR devices
|
Korea (Rep. of)
|
Q19/12, Q18/12
|
2019-04-23 |
|
[ 292 ]
|
Investigation of Video Quality Dimensions for different Video Content
|
Deutsche Telekom AG (Germany)
|
Q7/12, Q19/12
|
2018-11-14 |
|
[ 291 ]
|
Proposal for a Draft New Recommendation on Dimension-based Subjective Quality Evaluation for Video Content
|
Deutsche Telekom AG (Germany)
|
Q7/12, Q19/12
|
2018-11-14 |
|
[ 288 ]
|
Performance Analysis of RST-V Model of J.343.1
|
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 |
|
[ 263 ]
|
Perceptual video quality of various tone mapping(TM) methods for mobile displays
|
Korea (Rep. of)
|
Q19/12, Q18/12
|
2018-11-13 |
|
[ 262 ]
|
Perceptual quality measurements for tone-mapped HDR images
|
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 |
|
[ 164 ]
|
Test Vectors for the J.343 Family of Recommendations
|
Rohde & Schwarz GmbH & Co. KG
|
Q19/12
|
2018-04-16 |
|
[ 163 ]
|
Test Vectors for J.343 Implementation
|
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 |
|
[ 106 ]
|
Optimizing Bitrates and Transmission Resolution for Mobile Displays Based on Perceptual Video Quality
|
Korea (Rep. of)
|
Q19/12
|
2017-09-05 |
|
[ 95 ]
|
Perceptual dimensions of video quality in the context of video-telephony: Methodology, Experiments, Analysis
|
Deutsche Telekom AG
|
Q7/12, Q19/12
|
2017-09-04 |
|
[ 86 ]
|
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
|
Orange
|
Q7/12, Q19/12
|
2017-08-31 |
|
[ 67 ]
|
Optimizing Bitrates and Transmission Resolution by Considering Display Characteristics
|
Korea (Rep. of)
|
Q19/12
|
2016-12-23 |
Results:37 total items.
|
Multiple Document Download: Formats and Languages to be included (when available):
