{"id":"W4254859243","doi":"10.1007/978-3-030-62124-7_11","title":"MPEG Video Coding: MPEG-1, 2, 4, and 7","year":2021,"lang":"en","type":"book-chapter","venue":"Texts in computer science","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; MPEG-4; MPEG-2; Coding (social sciences); Video compression picture types; Computer vision; Scalable Video Coding; Multiview Video Coding; Motion compensation; Data compression; Artificial intelligence; Video tracking; Video processing; Computer graphics (images); Computer hardware; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009660856,0.0003675193,0.0004276726,0.0005787409,0.000242083,0.0008900981,0.002474973,0.0002047684,0.00004489809],"category_scores_gemma":[0.0000424419,0.000355905,0.00008353379,0.0005373244,0.0008328091,0.0008545184,0.00206756,0.0004939397,0.00005918432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787309,"about_ca_system_score_gemma":0.0005105078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006428739,"about_ca_topic_score_gemma":0.000004318122,"domain_scores_codex":[0.9967103,0.00002913351,0.0004860488,0.001437785,0.0008723433,0.000464411],"domain_scores_gemma":[0.9978189,0.000147917,0.0002372946,0.001281681,0.0003119804,0.0002021849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001158,0.00002019367,0.00001225879,0.0000319984,0.00000411102,0.00009056496,0.0001923373,0.000001304453,0.0004301008,0.6396708,0.0004265939,0.3591185],"study_design_scores_gemma":[0.001187342,0.0006000924,0.002550827,0.002758413,0.00003356823,0.0009562618,0.000009373195,0.2191759,0.03576501,0.3658117,0.3670141,0.004137381],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002821225,0.0009252992,0.9357017,0.001013226,0.0007290846,0.0002575557,0.000003155897,0.0003521139,0.06098963],"genre_scores_gemma":[0.03608909,0.002266323,0.7559417,0.003724832,0.0007035705,0.00003881831,0.00001157842,0.00009196375,0.2011321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3665875,"threshold_uncertainty_score":0.9998893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616018461663922,"score_gpt":0.2628123667361998,"score_spread":0.2366521821195606,"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."}}