{"id":"W2047138710","doi":"10.1145/2502081.2502168","title":"Efficient video quality assessment based on spacetime texture representation","year":2013,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence; Motion estimation; Computer vision; Measure (data warehouse); Pooling; Representation (politics); Distortion (music); Metric (unit); Video quality; Distributive property; Pattern recognition (psychology); Mathematics; Data mining","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":[0.0006995972,0.0006591417,0.0005486725,0.002004914,0.0001499143,0.0007292055,0.0005077767,0.0003011852,0.0006905497],"category_scores_gemma":[0.003430585,0.0001671648,0.0004104277,0.001042977,0.0003872167,0.001608471,0.0008099446,0.0003940582,0.0001467904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005585515,"about_ca_system_score_gemma":0.0002786987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001842544,"about_ca_topic_score_gemma":0.001448334,"domain_scores_codex":[0.9994505,0.00010183,0.00003199478,0.00008405082,0.0002955092,0.00003611587],"domain_scores_gemma":[0.9990337,0.0002074063,0.0002427072,0.0001312009,0.0003235516,0.00006137342],"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":[0.0008044452,0.00008226731,0.008268751,0.0003408679,0.0001447132,0.0003173217,0.0002239294,0.1965095,0.2636943,0.01827326,0.00172195,0.5096188],"study_design_scores_gemma":[0.00001773028,0.0001422496,0.005552083,0.00001266365,0.00003723856,0.0003183132,0.00003280861,0.9562055,0.03218128,0.004333024,0.001119798,0.00004738699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04842813,0.0002753808,0.9499852,0.0000433679,0.00002136031,0.00004591453,0.0001295367,0.0003054808,0.0007655543],"genre_scores_gemma":[0.7483417,0.0005046392,0.2499579,0.00003090084,0.00006104077,0.00005010051,0.0003451711,0.0000939408,0.0006145235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002004914,"threshold_uncertainty_score":0.004052639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304711634799788,"score_gpt":0.368623668258632,"score_spread":0.3255765519106341,"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."}}