{"id":"W2163871283","doi":"10.1109/icip.1996.559586","title":"Region-oriented video coding using the MDL principle and quad-tree optimization","year":2002,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Minimum description length; Computer science; Artificial intelligence; Coding (social sciences); Motion compensation; Segmentation; Inter frame; Coding tree unit; Quadtree; Probabilistic logic; Algorithm; Image segmentation; Motion estimation; Computer vision; Pattern recognition (psychology); Mathematics; Frame (networking); Decoding methods; Reference frame","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":[0.0001208966,0.00009868234,0.00009404163,0.0000856854,0.0003776299,0.0001781875,0.0005219445,0.00005517498,0.00001244517],"category_scores_gemma":[0.00009428035,0.00006338988,0.00002701439,0.000400087,0.0000672485,0.0003345473,0.0004616541,0.0001066182,0.000004499333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002158085,"about_ca_system_score_gemma":0.000006802898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002334651,"about_ca_topic_score_gemma":0.000003534385,"domain_scores_codex":[0.999182,0.00004312049,0.0001544707,0.0002752086,0.0001652485,0.0001799862],"domain_scores_gemma":[0.9992101,0.00008860346,0.00007701198,0.0005359293,0.00005389083,0.00003448798],"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":[0.00001087603,0.0001693144,0.008343491,0.00003930948,0.00005791539,0.00004564398,0.002654574,0.07563266,0.002324694,0.661241,0.01312271,0.2363578],"study_design_scores_gemma":[0.0001309088,0.00002151261,0.0001052877,0.00002868344,0.000003514125,0.00003643968,0.0001051823,0.994522,0.001908065,0.0006228992,0.002413499,0.0001019991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01248542,0.0002518826,0.9820058,0.002530568,0.0001395148,0.00009574858,1.061147e-7,0.0005953776,0.001895598],"genre_scores_gemma":[0.8938341,0.0001529632,0.1050147,0.0002442474,0.00002189291,0.000007430035,1.906625e-7,0.000005842403,0.0007186834],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9188893,"threshold_uncertainty_score":0.2904462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05492028115878386,"score_gpt":0.26280311922276,"score_spread":0.2078828380639761,"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."}}