{"id":"W2095097143","doi":"10.1109/pacrim.2011.6033016","title":"Spatio-temporal super-resolution from compressed video employing global and local motion","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Residual; Interpolation (computer graphics); Computer vision; Block (permutation group theory); Artificial intelligence; Motion estimation; Block-matching algorithm; Frame (networking); Motion (physics); Motion compensation; Image resolution; Compressed sensing; Reference frame; Algorithm; Mathematics; Video processing; Video tracking; Telecommunications","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":[0.0004944826,0.0006068092,0.0005389762,0.0006901872,0.0001634887,0.0003662198,0.0004694562,0.0004283283,0.001059844],"category_scores_gemma":[0.001719948,0.0002639717,0.0004207246,0.0007124219,0.0002669872,0.0009869942,0.0005355217,0.0007454463,0.0003663815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000151055,"about_ca_system_score_gemma":0.0003485127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240069,"about_ca_topic_score_gemma":0.00298441,"domain_scores_codex":[0.9997426,0.00004156738,0.00001273572,0.00002867415,0.0001566944,0.00001770791],"domain_scores_gemma":[0.9995782,0.0001789232,0.00005917493,0.00006831277,0.0000948011,0.00002050085],"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":[0.0003739387,0.00006509502,0.0009962379,0.0004945096,0.0001059369,0.0004819724,0.0001733364,0.07537415,0.3580875,0.009320835,0.002263956,0.5522626],"study_design_scores_gemma":[0.00002492052,0.0001514754,0.001492145,0.00003852022,0.00007402744,0.0009484372,0.00005406978,0.8777114,0.1089845,0.003987852,0.006494432,0.00003817918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01729993,0.0008578264,0.9804318,0.0001380148,0.00004211679,0.00003201325,0.00007136023,0.0003141683,0.0008127048],"genre_scores_gemma":[0.1276198,0.00130916,0.8685641,0.000100184,0.0001054448,0.00004415327,0.0003111111,0.00007632458,0.001869738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001240069,"threshold_uncertainty_score":0.003545463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03410687146937102,"score_gpt":0.2632673101961902,"score_spread":0.2291604387268192,"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."}}