{"id":"W2106331364","doi":"10.1109/tbc.2014.2306038","title":"Improved Tile Format of Stereoscopic Video for 3-D TV Broadcasting","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Tile; Stereoscopy; Computer science; High-definition television; Computer graphics (images); Broadcasting (networking); Frame (networking); Computer vision; MPEG-2; Block (permutation group theory); Artificial intelligence; Computer hardware; Telecommunications; Mathematics; Computer network; Geography","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":[0.0002339089,0.0004227343,0.000228983,0.0008564399,0.0002103465,0.0005392709,0.0004368166,0.0002954474,0.003706981],"category_scores_gemma":[0.0006831224,0.0001494708,0.0003301569,0.00110959,0.0001942595,0.0006741041,0.0003343394,0.0004761796,0.001136943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002655205,"about_ca_system_score_gemma":0.0002643843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009736393,"about_ca_topic_score_gemma":0.001200876,"domain_scores_codex":[0.9997659,0.00003157447,0.00001382398,0.00002191842,0.0001456156,0.00002114381],"domain_scores_gemma":[0.9995871,0.00005622392,0.00003985501,0.00009697258,0.0001929496,0.00002698863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007166337,0.0001054713,0.0009748542,0.0002737578,0.00002868794,0.0006411378,0.0002006142,0.01520201,0.560652,0.01696611,0.01022467,0.3940141],"study_design_scores_gemma":[0.00009996862,0.000767389,0.002773183,0.00006445718,0.00005822455,0.001979573,0.0001496081,0.2205188,0.6851782,0.003445301,0.08483917,0.0001261706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0787904,0.0007984698,0.903051,0.0002000539,0.0005573763,0.000166702,0.000554595,0.002263039,0.01361833],"genre_scores_gemma":[0.3125854,0.0009451877,0.6724311,0.000207024,0.0002107762,0.0001444264,0.001579001,0.0004868756,0.01141027],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003706981,"threshold_uncertainty_score":0.0124011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528189218687607,"score_gpt":0.2399965699848386,"score_spread":0.2247146777979625,"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."}}