{"id":"W2118885277","doi":"10.1109/ccece.2006.277786","title":"Prediction-Based Flexible Triangle Search Algorithm for Block Based Motion Estimation","year":2006,"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":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Block (permutation group theory); Algorithm; Search algorithm; Matching (statistics); Motion estimation; Beam search; Mathematics; Computer science; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004918309,0.0004111806,0.0005075824,0.0005641319,0.00026918,0.0003137579,0.001025439,0.0004009507,0.001987205],"category_scores_gemma":[0.002839596,0.0002036337,0.0002804782,0.0008069275,0.0002603728,0.0008542988,0.0004780265,0.0005404179,0.0005633687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003876104,"about_ca_system_score_gemma":0.0006093872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004458322,"about_ca_topic_score_gemma":0.003205392,"domain_scores_codex":[0.999655,0.00007026585,0.0000217673,0.00005021903,0.0001759791,0.00002665231],"domain_scores_gemma":[0.9993263,0.0002953006,0.00006073226,0.00008693382,0.0002032623,0.00002745082],"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":[0.0004059947,0.00003696615,0.0009823578,0.00009953351,0.00003485455,0.0000943071,0.000112002,0.2614948,0.03063336,0.02580499,0.002776216,0.6775245],"study_design_scores_gemma":[0.00001528749,0.0000412613,0.0001036668,0.000004208793,0.000004607258,0.00004661912,0.000005903921,0.992313,0.003702783,0.001751886,0.002003788,0.0000070025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004202683,0.0001112276,0.9948269,0.00001986875,0.00001948879,0.00002021977,0.00001531012,0.0002674254,0.0005169396],"genre_scores_gemma":[0.2302657,0.0002926075,0.7671891,0.00003174939,0.00004172399,0.0001361463,0.0002138395,0.0001057282,0.001723477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004458322,"threshold_uncertainty_score":0.008864701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350271841414171,"score_gpt":0.2657839930917483,"score_spread":0.2307568089503312,"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."}}