{"id":"W2135679938","doi":"10.1109/icassp.2006.1660384","title":"A New Object-Based Fractal Stereo Codec with Quadtree-Based Disparity or Motion Compensation","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Quadtree; Computer vision; Computer science; Artificial intelligence; Motion compensation; Codec; Fractal; Object (grammar); Compensation (psychology); Computer graphics (images); Stereopsis; Mathematics; Telecommunications","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":[0.00009100016,0.0001615667,0.000152392,0.0001079265,0.0001351934,0.0002130967,0.0003017769,0.00003602819,0.0001271236],"category_scores_gemma":[0.00001639074,0.0001118798,0.00004174298,0.000411635,0.00003056166,0.000706128,0.00003928807,0.0001111122,0.00004923496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006005831,"about_ca_system_score_gemma":0.0002061188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008078063,"about_ca_topic_score_gemma":0.001097408,"domain_scores_codex":[0.9987588,0.00005251301,0.0002106829,0.0003820407,0.0003542858,0.0002416823],"domain_scores_gemma":[0.9991648,0.000114862,0.000112606,0.000416653,0.00008809756,0.0001030029],"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":[0.0009182355,0.00138413,0.08068409,0.0001009919,0.00002589097,0.0001697941,0.0002117091,0.05232008,0.006219339,0.04823656,0.01304533,0.7966838],"study_design_scores_gemma":[0.001797414,0.0001458487,0.03181138,0.00004018517,0.00000482178,0.000006944449,0.00001089804,0.9561957,0.007699223,0.0004376153,0.001617703,0.0002323299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005829229,0.000008282993,0.9899816,0.001421918,0.00009085043,0.0001874841,0.000001532174,0.0003416157,0.002137525],"genre_scores_gemma":[0.6227818,1.37841e-7,0.3758031,0.0006805427,0.00003369587,0.000003716529,0.00001384603,0.00000737759,0.0006758253],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9038756,"threshold_uncertainty_score":0.4562324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474720487169215,"score_gpt":0.258697273150759,"score_spread":0.2439500682790668,"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."}}