{"id":"W4293794975","doi":"10.1109/icme52920.2022.9859789","title":"MFVP: Mobile-Friendly Viewport Prediction for Live 360-Degree Video Streaming","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Multimedia and Expo (ICME)","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Shenzhen University; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Viewport; Computer science; Overhead (engineering); Quality of experience; Real-time computing; Adaptation (eye); Mobile device; Artificial intelligence; Computer network; Quality of service","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003668554,0.0009160274,0.0005450555,0.0005706243,0.0002379307,0.0005103856,0.001134978,0.0005070654,0.001835639],"category_scores_gemma":[0.001495668,0.0002578775,0.0003206716,0.0004345516,0.0002068703,0.001037848,0.0007061425,0.001002709,0.0006797956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004127371,"about_ca_system_score_gemma":0.0005272171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00646353,"about_ca_topic_score_gemma":0.007112355,"domain_scores_codex":[0.9997733,0.00002218816,0.00001065918,0.00006905817,0.00009688867,0.00002797127],"domain_scores_gemma":[0.9996802,0.00006289828,0.00002705964,0.00005900295,0.0001360901,0.00003486197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005921482,0.0002376469,0.007540898,0.0001193696,0.00007748609,0.0002981835,0.0001138901,0.1385574,0.05565269,0.003303164,0.01496036,0.7785469],"study_design_scores_gemma":[0.000009168292,0.0000391793,0.0007900809,0.000007350845,0.000006929949,0.00007443381,0.00001086573,0.9892104,0.007962464,0.000752957,0.001125159,0.00001095622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03654445,0.000531598,0.9547676,0.0001759274,0.0001356367,0.00009662228,0.0005054259,0.005302274,0.001940491],"genre_scores_gemma":[0.6511989,0.000672244,0.3430929,0.000194646,0.0001244264,0.0001315192,0.00162456,0.000305415,0.002655371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00646353,"threshold_uncertainty_score":0.01285183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0815702275359349,"score_gpt":0.341901832464648,"score_spread":0.2603316049287131,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}