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