{"id":"W2082418483","doi":"10.1109/acvmot.2005.58","title":"High-Resolution Video Synthesis from Mixed-Resolution Video Based on the Estimate-and-Correct Method","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer vision; Computer science; Artificial intelligence; Motion blur; Sub-pixel resolution; Frame rate; Resolution (logic); Pixel; Image resolution; Frame (networking); Motion estimation; Reduction (mathematics); Consistency (knowledge bases); Image processing; Image (mathematics); Mathematics; Telecommunications; Digital image processing","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":[0.0004945024,0.0005565698,0.0004245965,0.0003870981,0.0002779167,0.000592473,0.0005389585,0.0005225614,0.003005243],"category_scores_gemma":[0.001385855,0.0003062008,0.0003346593,0.0002926038,0.0003518944,0.0005289334,0.0004870563,0.0008938275,0.0007434361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003121697,"about_ca_system_score_gemma":0.0004486929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281293,"about_ca_topic_score_gemma":0.002314754,"domain_scores_codex":[0.9996904,0.00005266917,0.00001310218,0.00004904201,0.0001759484,0.00001888723],"domain_scores_gemma":[0.9996189,0.0001574773,0.00003699814,0.00006616225,0.0001025491,0.0000178911],"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":[0.0003025978,0.0000666095,0.0004518638,0.0002979778,0.00006615351,0.0002438114,0.0001917488,0.1254628,0.2586358,0.04653696,0.003443257,0.5643004],"study_design_scores_gemma":[0.00004682449,0.00007494102,0.000200606,0.00002410696,0.00002240839,0.0002702575,0.00001422969,0.9031842,0.07945178,0.004896984,0.01178301,0.00003070925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00216485,0.00008346969,0.996655,0.00004135234,0.00003080405,0.000017562,0.00001649561,0.0003266721,0.0006638149],"genre_scores_gemma":[0.04855428,0.0001439298,0.949481,0.00003650778,0.0000315966,0.00004788352,0.00004780868,0.00007365799,0.001583327],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003005243,"threshold_uncertainty_score":0.01005352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167497413102906,"score_gpt":0.2843330416916054,"score_spread":0.2675833003813148,"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."}}