{"id":"W2100072598","doi":"10.1007/s11042-012-1298-3","title":"Simple and efficient motion estimation algorithm by continuum search","year":2012,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Algorithm; Motion estimation; Block (permutation group theory); Search algorithm; Computational complexity theory; Motion vector; Codec; Simple (philosophy); Matching (statistics); Artificial intelligence; Mathematics; Image (mathematics)","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":[0.0003596163,0.0007406087,0.001094598,0.001316806,0.0006169722,0.0007922994,0.001281782,0.001180582,0.0038338],"category_scores_gemma":[0.0008872337,0.0004817744,0.0007106822,0.001527196,0.0003649777,0.001396906,0.001466297,0.0009952864,0.002169417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003162629,"about_ca_system_score_gemma":0.00113131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002016973,"about_ca_topic_score_gemma":0.002509299,"domain_scores_codex":[0.9995303,0.00005437451,0.00002615352,0.0001148607,0.0002362854,0.00003806498],"domain_scores_gemma":[0.9997091,0.00006088155,0.00002827483,0.00006757172,0.0001029162,0.0000312275],"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":[0.000376895,0.0001657531,0.001266473,0.0002086603,0.0001048674,0.0001517844,0.00009505998,0.03491456,0.08452493,0.01336347,0.006591977,0.8582355],"study_design_scores_gemma":[0.0001290417,0.0001498653,0.001385351,0.00002926085,0.00006396139,0.000654619,0.0000604463,0.9442557,0.03110985,0.009403056,0.01269491,0.00006391377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003876878,0.0002351129,0.9943297,0.00004156002,0.00004398602,0.00002470229,0.0000284011,0.0005196744,0.0008998572],"genre_scores_gemma":[0.0691981,0.0002636515,0.9266971,0.0001051689,0.00005223903,0.0001025431,0.0002610527,0.0001227866,0.003197406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0038338,"threshold_uncertainty_score":0.01282537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787137630987468,"score_gpt":0.2992801387171127,"score_spread":0.2814087624072381,"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."}}