{"id":"W3010383031","doi":"10.1109/wacv45572.2020.9093558","title":"Online Lens Motion Smoothing for Video Autofocus","year":2020,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Autofocus; Computer vision; Computer science; Artificial intelligence; Lens (geology); Focus (optics); Image stabilization; Process (computing); Smoothing; Image (mathematics); Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002408659,0.00005472886,0.00005507207,0.00001308277,0.00004004284,0.00002489672,0.00006701746,0.00002431127,0.00002345487],"category_scores_gemma":[0.0000171735,0.00005329375,0.00002652959,0.00007453826,0.000005775538,0.00009627105,0.00001138759,0.00005581909,0.00001017042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001236777,"about_ca_system_score_gemma":0.000003972323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003207012,"about_ca_topic_score_gemma":0.000001356449,"domain_scores_codex":[0.9997045,0.000001158633,0.00008878437,0.00008273185,0.00003222552,0.00009061495],"domain_scores_gemma":[0.9998646,0.00001123155,0.000009222724,0.00006540109,0.00002240013,0.00002718572],"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":[0.00001213861,0.0001672564,0.00009469397,0.001008014,0.00005804206,0.000002632224,0.001228252,0.0218601,0.237078,0.04309225,0.1524142,0.5429844],"study_design_scores_gemma":[0.0001044132,0.00001506813,0.00003622274,0.000009312386,0.000008425154,9.039751e-7,0.00001912026,0.8267969,0.04318719,0.001707915,0.1280046,0.0001099309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001804896,0.00005774948,0.9908558,0.002803827,0.00002023222,0.0001357464,0.00001343487,0.001722111,0.002586184],"genre_scores_gemma":[0.6854394,0.00001002155,0.3131167,0.001107844,0.0001406181,0.00005418626,0.00002387591,0.00002736424,0.00008001713],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8049368,"threshold_uncertainty_score":0.2173256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207591941785264,"score_gpt":0.2627516705470313,"score_spread":0.2306757511291787,"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."}}