{"id":"W3131593928","doi":"10.5220/0010207607850792","title":"Object based Hybrid Video Compression","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Data compression; Object (grammar); Compression (physics); Computer graphics (images); Computer vision; Artificial intelligence; Materials science","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":[0.0001141382,0.0001281736,0.0001518359,0.00006852557,0.0001089659,0.0001276843,0.0009098064,0.00003091194,0.0003050026],"category_scores_gemma":[0.00008879428,0.000107298,0.0000606274,0.0002916171,0.00002474474,0.0006509869,0.0008197438,0.0001310908,0.0000897159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002590094,"about_ca_system_score_gemma":0.0001084174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000692098,"about_ca_topic_score_gemma":0.000001805335,"domain_scores_codex":[0.9986803,0.00009964942,0.0001954108,0.0004966272,0.0003028692,0.000225178],"domain_scores_gemma":[0.9982111,0.0001670709,0.0000590452,0.001330177,0.0001286027,0.0001040182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001731603,0.0004498826,0.0005413196,0.00005021837,0.00001690833,0.0007960472,0.00005057904,0.0005870885,0.2634458,0.08034705,0.2982089,0.3554889],"study_design_scores_gemma":[0.0001939235,0.00002002639,0.000248148,0.00004727406,0.000001244508,0.00002766072,0.000002735392,0.07130571,0.8443299,0.00772959,0.07592835,0.0001654286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004753582,0.0001313307,0.9872562,0.0007551068,0.0001956597,0.0000788564,0.000005682064,0.001146739,0.009955063],"genre_scores_gemma":[0.2031991,0.00001251018,0.7936735,0.002249342,0.00002769659,0.00001803949,0.00002186163,0.000009633675,0.0007883239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5808841,"threshold_uncertainty_score":0.4375483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527160497607501,"score_gpt":0.2734245708790195,"score_spread":0.2581529659029445,"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."}}