{"id":"W2147697080","doi":"10.1109/icpr.1990.119344","title":"Parametric block estimation of motion and application to temporal interpolation of video sequences","year":2002,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Interpolation (computer graphics); Motion estimation; Block (permutation group theory); Parametric statistics; Computer science; Motion (physics); Algorithm; Heuristic; Probabilistic logic; Artificial intelligence; Computer vision; Mathematics; Geometry","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":[0.0002961174,0.000327182,0.0002995849,0.0004815473,0.000172945,0.0003788843,0.000415705,0.0004770249,0.002113777],"category_scores_gemma":[0.001563448,0.0002335739,0.0002644352,0.0006759578,0.0003129003,0.0005649315,0.0004678181,0.0004023214,0.0005923186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253104,"about_ca_system_score_gemma":0.00030682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001552825,"about_ca_topic_score_gemma":0.001443786,"domain_scores_codex":[0.9998516,0.00003859921,0.00000784521,0.00002739982,0.00006211559,0.00001239698],"domain_scores_gemma":[0.9997459,0.0001170394,0.00002670901,0.00004783858,0.00005249513,0.00001011563],"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":[0.00009844241,0.00002455459,0.0004179986,0.0001449179,0.00002895251,0.0001326984,0.0001374285,0.2718348,0.06849937,0.05294818,0.001731767,0.6040008],"study_design_scores_gemma":[0.000002985427,0.00003422625,0.0002250973,0.000007696702,0.000006730427,0.0001524615,0.00000921934,0.9797747,0.009703445,0.004897193,0.005177412,0.000008872767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00154983,0.0001076041,0.9978821,0.00001492006,0.000008658358,0.00000832801,0.00001028769,0.00009863709,0.0003197403],"genre_scores_gemma":[0.1143572,0.001087441,0.8802875,0.00003062361,0.00005937571,0.00007736775,0.0001506753,0.00008964423,0.003860216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002113777,"threshold_uncertainty_score":0.007071316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303551862114722,"score_gpt":0.2587245044062028,"score_spread":0.2356889857850555,"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."}}