{"id":"W4205894165","doi":"10.24251/hicss.2022.087","title":"An Efficient Refocusing Scheme for Camera-Array Captured Light Field Video for Improved Visual Immersiveness","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Telus (Canada); University of British Columbia","funders":"","keywords":"Computer science; Computer vision; Scheme (mathematics); Artificial intelligence; Light field; Computer graphics (images); Field (mathematics); 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":[0.0003440436,0.0006203974,0.0003800352,0.0006839702,0.0002388845,0.0004477365,0.0006826066,0.0004874927,0.002402444],"category_scores_gemma":[0.001017598,0.0002486064,0.0004608132,0.0005317772,0.0002377196,0.001023706,0.0007031099,0.0008088563,0.0007158022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003257301,"about_ca_system_score_gemma":0.0003937677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100881,"about_ca_topic_score_gemma":0.001694249,"domain_scores_codex":[0.9996899,0.000035597,0.00002095072,0.00006681635,0.0001598429,0.00002692168],"domain_scores_gemma":[0.9995748,0.00006984668,0.0000666596,0.00008688631,0.0001616022,0.00004018523],"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":[0.0002689761,0.00009781607,0.0004680596,0.0001628489,0.00003415661,0.0001245408,0.0001714664,0.01084115,0.4788931,0.003714227,0.001496407,0.5037273],"study_design_scores_gemma":[0.00006008555,0.0005665137,0.001893897,0.0000420082,0.00006337003,0.001150398,0.00006036135,0.5138234,0.4651364,0.001567198,0.01554922,0.00008712915],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02449374,0.0004163875,0.9730625,0.00008099717,0.00005568017,0.00006709639,0.00004201241,0.000609023,0.001172579],"genre_scores_gemma":[0.1952189,0.0006423992,0.7997217,0.0001169394,0.00005996256,0.00006618907,0.000185816,0.0001217057,0.003866405],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002402444,"threshold_uncertainty_score":0.008037031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722830806067904,"score_gpt":0.3040138649970896,"score_spread":0.2767855569364105,"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."}}