{"id":"W4410428100","doi":"10.1109/tmc.2025.3571186","title":"Optimizing Mobile-Friendly Viewport Prediction for Live 360-Degree Video Streaming","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Viewport; Computer science; Degree (music); Video streaming; Mobile telephony; Multimedia; Mobile computing; Mobile radio; Computer network; Computer graphics (images)","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":[0.0007781597,0.0003347327,0.0003956241,0.0003741212,0.0009430729,0.0003224972,0.0007214822,0.0001451889,0.00001653868],"category_scores_gemma":[0.00001447823,0.0003582035,0.0003155184,0.0006861556,0.00006027308,0.0006772508,0.00002071423,0.0004244288,0.00002351048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774378,"about_ca_system_score_gemma":0.000231188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005693379,"about_ca_topic_score_gemma":0.00001651011,"domain_scores_codex":[0.9973086,0.0001432755,0.0007505658,0.0008726122,0.0003498805,0.0005750682],"domain_scores_gemma":[0.997894,0.0007398971,0.0002048146,0.0007888026,0.0002583715,0.0001141149],"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":[0.00002690396,0.000407157,0.00002011297,0.0001603044,0.0001265271,0.000007599763,0.00184864,0.3241625,0.001348894,0.0007071792,0.0004377062,0.6707465],"study_design_scores_gemma":[0.00128426,0.0009161761,0.0001220601,0.0005684201,0.0001103757,0.00001802817,0.001363656,0.9590256,0.02952252,0.0003213232,0.006253737,0.0004938125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008654745,0.0002345287,0.9860243,0.0001419977,0.002207761,0.001446511,0.00002924376,0.000605326,0.0006556135],"genre_scores_gemma":[0.8632157,0.00004498946,0.1350944,0.0003949004,0.0001255851,0.000594738,0.00000764825,0.00002597574,0.0004959793],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.854561,"threshold_uncertainty_score":0.999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768358906685327,"score_gpt":0.3148080385263113,"score_spread":0.287124449459458,"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."}}