{"id":"W3104711241","doi":"10.1109/tmc.2020.3038710","title":"Online Bitrate Selection for Viewport Adaptive 360-Degree Video Streaming","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Viewport; Computer science; Variable bitrate; Quality of experience; Upload; Constant bitrate; Streaming algorithm; Video quality; Bandwidth (computing); Dynamic Adaptive Streaming over HTTP; Real-time computing; Multimedia; Computer vision; Quality of service; Bit rate; Computer network; Upper and lower bounds; Metric (unit)","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":[0.0003089499,0.0002623913,0.0003107869,0.0001242042,0.0005034316,0.000165695,0.0004671231,0.00008747058,0.00001407264],"category_scores_gemma":[0.00001009566,0.0002739069,0.0002218128,0.0006776964,0.00003209358,0.0004933985,0.000008343382,0.0003891329,0.00002695324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156776,"about_ca_system_score_gemma":0.0001532859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005406129,"about_ca_topic_score_gemma":0.00004018797,"domain_scores_codex":[0.9979677,0.0001202438,0.0005011669,0.00069047,0.0002992429,0.0004211278],"domain_scores_gemma":[0.9988344,0.0003283099,0.0001818275,0.0002816733,0.0002014113,0.0001723179],"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":[0.00006223227,0.0006247933,0.00001741578,0.0001012692,0.000123103,0.000008776293,0.002029666,0.2437441,0.005976937,0.0006080412,0.0003049347,0.7463987],"study_design_scores_gemma":[0.000644863,0.001029418,0.00008121846,0.00007560216,0.00003608117,0.00001273755,0.0003342299,0.9642171,0.03184379,0.00011921,0.001278316,0.0003274063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01398806,0.00004751837,0.9834107,0.0007286082,0.0004969321,0.0007242049,0.00002794561,0.0004818032,0.00009428769],"genre_scores_gemma":[0.8757062,0.0000117514,0.1224771,0.001424215,0.0002265868,0.00006826002,0.000005712619,0.00002523466,0.00005494044],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8617182,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08319445523496753,"score_gpt":0.3246410736950593,"score_spread":0.2414466184600918,"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."}}