{"id":"W2062266938","doi":"10.1109/ipta.2010.5586736","title":"Robust Multiple Hypothesis Motion Compensated Prediction within the H.264/AVC standard","year":2010,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Coding (social sciences); Reference frame; Motion estimation; Implementation; Resilience (materials science); Distortion (music); Motion compensation; Algorithm; Motion (physics); Rate distortion; Inter frame; Quarter-pixel motion; Artificial intelligence; Computer vision; Frame (networking); Mathematics; Statistics; Telecommunications","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":[0.0007324133,0.000625898,0.0004738491,0.000421458,0.0002186221,0.0004207166,0.0007303436,0.0006894322,0.001344765],"category_scores_gemma":[0.00174878,0.0002038252,0.0002393671,0.0005816305,0.0002740416,0.0009699862,0.0003963342,0.0005921462,0.0004442203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002266674,"about_ca_system_score_gemma":0.0005393521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003282131,"about_ca_topic_score_gemma":0.00244672,"domain_scores_codex":[0.9994254,0.0001344918,0.00002213104,0.00008122837,0.000288441,0.00004824514],"domain_scores_gemma":[0.999562,0.0001604449,0.00007340025,0.00007918081,0.0001100858,0.0000149111],"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":[0.0009044327,0.0001478308,0.001964226,0.0004133134,0.0000946949,0.0005135184,0.0001033741,0.1586137,0.281245,0.02028863,0.008280977,0.5274302],"study_design_scores_gemma":[0.00007195857,0.0003848168,0.002215613,0.00004561524,0.00003366807,0.0003701283,0.00002759979,0.8934166,0.09013768,0.006112676,0.007122115,0.00006144691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06756729,0.00317878,0.9228421,0.0002415125,0.0001026381,0.0001701268,0.0002343797,0.00276087,0.002902215],"genre_scores_gemma":[0.4346373,0.001174471,0.5613368,0.0001468256,0.0001104554,0.0001220498,0.0004464764,0.0001376442,0.001888064],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003282131,"threshold_uncertainty_score":0.006526053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03965262101193959,"score_gpt":0.2137713404243021,"score_spread":0.1741187194123625,"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."}}