{"id":"W2101745426","doi":"10.1109/ccece.2007.14","title":"A Hardware Implementation of Real-Time Video Deblocking Using Shifted Thresholding","year":2007,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Deblocking filter; Computer science; Field-programmable gate array; Thresholding; Computer hardware; Video processing; Data compression; Block (permutation group theory); Artificial intelligence; Image (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":[],"consensus_categories":[],"category_scores_codex":[0.0004707855,0.0001045251,0.0001503195,0.0002440179,0.0001300584,0.00006697048,0.0006151584,0.00005980404,0.00006161348],"category_scores_gemma":[0.00002839756,0.00009104465,0.00005436935,0.0005054584,0.00002651155,0.0003413761,0.0003802917,0.0000731438,0.000005682382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000488158,"about_ca_system_score_gemma":0.00003809661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004563903,"about_ca_topic_score_gemma":0.00002749815,"domain_scores_codex":[0.9988638,0.00001910201,0.0003288618,0.0002597611,0.0002538811,0.000274614],"domain_scores_gemma":[0.9992051,0.00009422704,0.0001565485,0.0004199989,0.00008520571,0.00003894903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001227641,0.00004619601,0.01683177,0.00003238617,0.00003915061,0.00002528357,0.001160989,0.0002026077,0.6106805,0.06177505,0.000815955,0.3083779],"study_design_scores_gemma":[0.0003637831,0.00006720828,0.006413544,0.0001027597,0.00000873096,0.00001509731,0.00082287,0.0344885,0.9514014,0.005884478,0.0002096182,0.000222044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5434722,0.00002744723,0.4547894,0.0001041119,0.00006419872,0.00006868836,5.583333e-7,0.0004428498,0.001030479],"genre_scores_gemma":[0.8645985,0.000007580053,0.135288,0.00004060478,0.00001416925,0.000001754186,8.050693e-7,0.000005841336,0.00004283235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3407209,"threshold_uncertainty_score":0.3712693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03490511604655694,"score_gpt":0.3236425642780808,"score_spread":0.2887374482315239,"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."}}