{"id":"W2141503150","doi":"10.1109/icme.2003.1221738","title":"A modified space frequency decomposition algorithm for visual motion","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Optical flow; Decomposition; Matching (statistics); Motion (physics); Computer science; Space (punctuation); Scale (ratio); Algorithm; Artificial intelligence; Motion field; Scale space; Computer vision; Flow (mathematics); Image (mathematics); Structure from motion; Process (computing); Mathematics; Image processing; Physics; Geometry; Chemistry","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":[0.0004948159,0.0008239952,0.0007330445,0.001385018,0.0003548706,0.000598511,0.0008852995,0.0008808609,0.00411908],"category_scores_gemma":[0.001499665,0.0003356317,0.0007958976,0.001211735,0.0003797882,0.00124124,0.0007469036,0.0009708775,0.001684884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000426553,"about_ca_system_score_gemma":0.0005879351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002356982,"about_ca_topic_score_gemma":0.00231341,"domain_scores_codex":[0.9995421,0.00006647015,0.00002413088,0.0001155504,0.0002191925,0.00003245245],"domain_scores_gemma":[0.9997137,0.00007964021,0.00002600264,0.00005814113,0.0001044514,0.00001806263],"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":[0.0001425982,0.00005676023,0.0001998341,0.00009462028,0.00005193681,0.00004237981,0.00006167791,0.03757155,0.04576874,0.01766844,0.003151971,0.8951894],"study_design_scores_gemma":[0.00004791637,0.00010977,0.0005385195,0.00001968096,0.00002116888,0.0001842784,0.00002451877,0.954896,0.01462899,0.01289754,0.01659959,0.00003203122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001470615,0.00009578589,0.9978137,0.00003149109,0.00003915003,0.00002426519,0.00002604437,0.0002032591,0.0002956517],"genre_scores_gemma":[0.01803724,0.0001448093,0.9797849,0.00003466155,0.00004296623,0.00009237307,0.0001483043,0.00007350435,0.001641121],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00411908,"threshold_uncertainty_score":0.01377964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606910125397849,"score_gpt":0.3219444142741716,"score_spread":0.3058753130201931,"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."}}