{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002450331,0.000586903,0.0005483057,0.001422798,0.0003076671,0.0009737748,0.0006612697,0.0006360675,0.005121275],"category_scores_gemma":[0.0003720086,0.0002042376,0.0003984168,0.00123285,0.0002089572,0.001076969,0.0007704757,0.0004968288,0.001503766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003413382,"about_ca_system_score_gemma":0.0002358276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086766,"about_ca_topic_score_gemma":0.001745971,"domain_scores_codex":[0.9996697,0.00002552632,0.000013854,0.00004606817,0.0002102336,0.00003473928],"domain_scores_gemma":[0.9997515,0.00005508923,0.00001629897,0.00006470195,0.00009554525,0.00001674938],"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":[0.0006531147,0.0001564669,0.0008978987,0.0001498385,0.00008578724,0.0002434021,0.00005025619,0.01255059,0.2938206,0.006476908,0.003448,0.6814672],"study_design_scores_gemma":[0.00007041305,0.0004102806,0.004763475,0.0000448239,0.000131657,0.001489188,0.00006048131,0.5656651,0.4030495,0.003735229,0.02052095,0.00005888541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1010266,0.002502215,0.8760736,0.0001876134,0.0003747657,0.0001586978,0.0004458933,0.002830605,0.01639997],"genre_scores_gemma":[0.4959611,0.001532193,0.4688913,0.0002823965,0.0002347989,0.0001245209,0.001488164,0.0003060679,0.03117955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005121275,"threshold_uncertainty_score":0.01713234,"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."}}