{"id":"W2035281174","doi":"10.1109/icce.2012.6161793","title":"Bitrate reduction in asymmetric stereoscopic video with low-pass filtered slices","year":2012,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer vision; Video quality; Reduction (mathematics); Video processing; Video compression picture types; Data compression; Multiview Video Coding; Stereoscopy; Quality (philosophy); Artificial intelligence; Computer graphics (images); Compression (physics); Video denoising; Video tracking; Mathematics; Engineering","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":[0.0002153267,0.0001368495,0.0001544314,0.0004870845,0.00007126573,0.0001365163,0.0006937106,0.00007483247,0.0000136856],"category_scores_gemma":[0.00002803037,0.00009493526,0.00002495864,0.00139823,0.00003558181,0.0009860989,0.0002090518,0.0001681965,0.00005842527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003811974,"about_ca_system_score_gemma":0.00002602036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000835166,"about_ca_topic_score_gemma":0.00001261792,"domain_scores_codex":[0.9988667,0.0000540795,0.0001937212,0.0002917979,0.000214936,0.0003787371],"domain_scores_gemma":[0.9992114,0.00004896786,0.00008390858,0.0005536506,0.00003548143,0.00006659435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005979214,0.0008038993,0.06801333,0.0001287209,0.00005958635,0.00002348782,0.001801835,0.0001964077,0.01325591,0.07887237,0.006461694,0.830323],"study_design_scores_gemma":[0.002920585,0.0009712963,0.2423371,0.0007462339,0.00002222294,0.0001878972,0.001616761,0.01784989,0.7147795,0.008398768,0.008496488,0.001673279],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8583179,0.0004565062,0.1323463,0.001108781,0.0005425646,0.0001767459,4.270507e-7,0.0009702944,0.006080519],"genre_scores_gemma":[0.9679606,0.00002616602,0.0312106,0.000087869,0.00004000446,0.0000314244,5.16677e-7,0.000006279333,0.0006365637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8286497,"threshold_uncertainty_score":0.3871348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744796765955008,"score_gpt":0.2420036747669018,"score_spread":0.2245557071073518,"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."}}