{"id":"W2172078673","doi":"10.1109/wescan.1997.627107","title":"Very low bit rate video coding for visual communications","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Coding (social sciences); Bit rate; Visual communication; Computer vision; Artificial intelligence; Context-adaptive binary arithmetic coding; Coding tree unit; MPEG-4; Multimedia; Data compression; Decoding methods; Computer engineering; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001794159,0.00009209095,0.0001082517,0.00008364746,0.0002275412,0.0001137739,0.001774068,0.00003621273,0.00005943517],"category_scores_gemma":[0.00009420436,0.00008270776,0.00004398884,0.0002251196,0.00004977795,0.0008824549,0.0009449983,0.00008797246,0.00008037344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002622163,"about_ca_system_score_gemma":0.000008711174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004503614,"about_ca_topic_score_gemma":0.000002954079,"domain_scores_codex":[0.9992322,0.00005098737,0.0001867255,0.0002446195,0.000095111,0.0001904043],"domain_scores_gemma":[0.9979388,0.0004527908,0.00006848301,0.001404003,0.00007527714,0.00006070313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006491731,0.0003327305,0.00006269311,0.00003195484,0.00001817499,0.000003063076,0.0002448915,0.00003778722,0.03329163,0.5042322,0.1929856,0.2687527],"study_design_scores_gemma":[0.0002581617,0.00006718352,0.0000480911,0.00004539917,0.000002601718,0.000003996925,0.00001009904,0.7941699,0.0680469,0.01090501,0.1262274,0.0002152953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001259046,0.000106156,0.9939782,0.001576744,0.0000825444,0.0002273357,0.000006845363,0.00073811,0.003158183],"genre_scores_gemma":[0.208272,0.0001976856,0.7889248,0.001159602,0.00002673963,0.0001214759,0.00001059716,0.0000108126,0.00127632],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7941321,"threshold_uncertainty_score":0.3372725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05601309128860657,"score_gpt":0.3336731880974668,"score_spread":0.2776600968088602,"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."}}