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ITU-T SG12  C 

ITU-T SG12

Performance, QoS and QoE

Study Period 2022

Results:22 total items.
Contributions  [ AI/Question: Q19/12 ]   Documents / Contributions
 
Number 
Title Source AI/Question
Date
[ 216 ]  
 
Proposal for a new metric to describe image intelligibility     Focus Infocom Ges. F. Informatik u. Telekomm. mbH (Germany) , Opticom GmbH (Germany)   Q19/12   2024-04-01
[ 212 ]  
 
Progress of J.q-uhd and J.src-vq     Korea (Rep. of)   Q19/12   2024-04-01
[ 211 ]  
 
Reliability of No-Reference Video Quality Assessment Methods in the Development of J.noref     Korea (Rep. of)   Q19/12   2024-04-01
[ 205 ]  
 
P.obj-recog experimental result     Nippon Telegraph and Telephone Corporation (NTT) (Japan)   Q19/12   2024-03-29
[ 204 ]  
 
Draft Test plan of P.obj-recog     Nippon Telegraph and Telephone Corporation (NTT) (Japan)   Q19/12   2024-03-29
[ 203 ]  
 
Draft Terms of Reference (ToR) P.obj-recog     Nippon Telegraph and Telephone Corporation (NTT) (Japan)   Q19/12   2024-03-29
[ 182 ]  
 
HDR WCG subjective test conducted in a remote testing scenario     Dolby Laboratories (United States) , Netflix Inc. (United States)   Q7/12, Q19/12   2023-09-06
[ 164 ]  
 
Proposed updates to Draft revised Recommendation ITU-T P.910     Dolby Laboratories (United States)   Q19/12   2023-09-06
[ 144 ]  
 
New work item for studying user experience of multimedia in videotelephony service     China Mobile Communications Co. Ltd. , Orange (France)   Q19/12, Q10/12   2023-09-04
[ 136 ]  
(Rev.1) 
Development of No-Reference Video Quality Assessment Methods     Korea (Rep. of)   Q19/12   2023-08-29
[ 130 ]  
 
Draft Test plan of P.obj-recog     Nippon Telegraph and Telephone Corporation (NTT) (Japan)   Q19/12   2023-08-22
[ 129 ]  
 
Draft Terms of Reference (ToR) P.obj-recog     Nippon Telegraph and Telephone Corporation (NTT) (Japan)   Q19/12   2023-08-22
[ 85 ]  
 
Adversarial examples of deep learning based NR video quality measurement methods     Korea (Rep. of)   Q19/12   2022-12-30
[ 84 ]  
 
Draft New Report: Optimizing Bitrates and Transmission Resolution by Considering Display Characteristics and Available Bandwidth     Korea (Rep. of) , Orange (France)   Q19/12   2022-12-30
[ 83 ]  
 
G.CMVTQS: Updated test protocol of subjective tests     China Mobile Communications Co. Ltd. , Ilmenau University of Technology (TU Ilmenau) (Germany) , Orange (France) , Rohde & Schwarz GmbH & Co. KG (Germany) , Wuhan University (China)   Q7/12, Q19/12, Q15/12   2022-12-29
[ 81 ]  
 
The estimation techniques of object-recognition rate in surveillance video of autonomous driving     Nippon Telegraph and Telephone Corporation (NTT) (Japan)   Q19/12   2022-12-22
[ 77 ]  
 
Proposal to merge P.913, P.911, and P.910     United States   Q19/12   2022-12-20
[ 59 ]  
 
AVrate Voyager: an open source online testing platform     Ilmenau University of Technology (TU Ilmenau) (Germany)   Q7/12, Q19/12, Q14/12   2022-05-25
[ 36 ]  
 
On subjective evaluation of video quality with the crowdsourcing approach     TU Berlin (Germany)   Q7/12, Q19/12   2022-05-24
[ 28 ]  
 
Proposed contributions to J.noref " Distortion Perceptual Thresholds Measurement for Facial Images based on Electroencephalography"     China Mobile Communications Co. Ltd. , Tsinghua University (China)   Q19/12   2022-05-22
[ 19 ]  
 
Performance variation of deep-learning based NR video quality measurement methods due to training data selection     Korea (Rep. of)   Q19/12   2022-05-20
[ 11 ]  
 
Proposed Updates to ITU-T Rec. P.910 regarding Spatial and Temporal Information     Ilmenau University of Technology (TU Ilmenau) (Germany)   Q19/12   2022-05-16
Results:22 total items.
 
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