{"id":"W2103538377","doi":"10.1109/icip.1997.638618","title":"Efficient RD optimized macroblock coding mode selection for MPEG-2 video encoding","year":2002,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Macroblock; Computer science; Encoder; Coding tree unit; Data compression; Context-adaptive binary arithmetic coding; Coding (social sciences); Rate–distortion theory; Multiview Video Coding; Bitstream; Context-adaptive variable-length coding; Algorithm; Real-time computing; Artificial intelligence; Decoding methods; Video tracking; Video processing; Mathematics","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":[0.0002004403,0.0002342247,0.0001415577,0.0002401102,0.00009103952,0.0001829372,0.0002342919,0.000149737,0.0007625453],"category_scores_gemma":[0.0004044059,0.00007954638,0.00007089862,0.0001845031,0.00006902172,0.0001846004,0.0001174509,0.0001443295,0.0003261605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001828798,"about_ca_system_score_gemma":0.0002372102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107261,"about_ca_topic_score_gemma":0.00324599,"domain_scores_codex":[0.9998871,0.00002976587,0.000005260897,0.000009408896,0.00005772246,0.00001082763],"domain_scores_gemma":[0.9998887,0.00004054628,0.00001404492,0.00001639265,0.00003535555,0.000004883104],"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":[0.0004638407,0.00008749624,0.001398514,0.00008102094,0.00002201975,0.0001200127,0.00006503135,0.09666256,0.4141735,0.009973153,0.004974235,0.4719785],"study_design_scores_gemma":[0.00002304379,0.00008994286,0.001344198,0.000007070613,0.000008244278,0.000108548,0.00001038482,0.8974109,0.09575858,0.00222467,0.002999605,0.00001476222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.124188,0.001062219,0.8701913,0.00008926929,0.00004885232,0.00005689333,0.0002195781,0.001252664,0.002891235],"genre_scores_gemma":[0.6101546,0.0004562907,0.3845626,0.00005334494,0.00003092688,0.00006989601,0.0004317073,0.0001070892,0.004133488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00107261,"threshold_uncertainty_score":0.002551019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03247059254068735,"score_gpt":0.2615823726203392,"score_spread":0.2291117800796519,"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."}}