{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006098102,0.0002390942,0.0002449739,0.0002138815,0.0004253141,0.000245715,0.0009058249,0.00006002321,0.0006291823],"category_scores_gemma":[0.0000810721,0.0002452345,0.0001216332,0.0001463376,0.00006604978,0.000610379,0.0003623147,0.0003543117,0.00003812927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001979575,"about_ca_system_score_gemma":0.0001870541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001110269,"about_ca_topic_score_gemma":0.00002303362,"domain_scores_codex":[0.9975204,0.000130572,0.0004691863,0.0007088962,0.0008429873,0.0003279667],"domain_scores_gemma":[0.9987019,0.0003011547,0.0002293104,0.0003767241,0.0002490875,0.0001418171],"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":[0.0005505511,0.001669233,0.003821806,0.0001323913,0.0005166433,0.0001993491,0.01941579,0.001215559,0.02441502,0.1080284,0.04001608,0.8000191],"study_design_scores_gemma":[0.002176732,0.001804657,0.002720295,0.00008075884,0.00003618403,0.00006563929,0.004747701,0.9295407,0.003360398,0.003871388,0.05097952,0.0006160144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2195739,0.0005055674,0.7323751,0.008669726,0.01797802,0.003592517,0.001690901,0.0007314531,0.01488287],"genre_scores_gemma":[0.9848344,0.0001731196,0.009771446,0.0008745128,0.0004211387,0.001421615,0.0002522936,0.00002186902,0.002229614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9283252,"threshold_uncertainty_score":1,"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."}}