{"id":"W7091187782","doi":"","title":"Bit Allocation Transfer for Perceptual Quality Enhancement of VVC Intra Coding","year":2025,"lang":"en","type":"article","venue":"ArXiv.org","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coding (social sciences); Quantization (signal processing); Codec; Perception; Image quality; Algorithmic efficiency","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007784868,0.0001122217,0.0002030759,0.00006089933,0.0001054301,0.00004170578,0.0004436852,0.00005242039,0.00002884543],"category_scores_gemma":[0.00006339407,0.0001092505,0.00009663423,0.0002444908,0.00004987662,0.0003302184,0.00007674663,0.00007894158,0.00001389718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000069983,"about_ca_system_score_gemma":0.0001309972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008277154,"about_ca_topic_score_gemma":0.00002449321,"domain_scores_codex":[0.9987049,0.0001073455,0.0004526307,0.0003232105,0.0001938215,0.0002181525],"domain_scores_gemma":[0.9991355,0.0001859408,0.00005472925,0.000421102,0.0001664726,0.00003628408],"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":[0.00007390554,0.0007130495,0.02881987,0.0006545137,0.0001706971,0.000001380514,0.009416698,0.00002973549,0.4997067,0.3983993,0.001933023,0.06008108],"study_design_scores_gemma":[0.001384356,0.0002871184,0.1224764,0.000155178,0.00004489124,5.394849e-7,0.001056479,0.004545568,0.8618352,0.002205105,0.005655691,0.000353452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4215543,0.00003062417,0.5756947,0.001956668,0.0001770926,0.0001975733,0.000002318964,0.00002929748,0.0003574255],"genre_scores_gemma":[0.9904612,0.00002444213,0.007741932,0.001104841,0.00003848541,0.0000634961,0.000009015289,0.000004330474,0.0005522992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5689069,"threshold_uncertainty_score":0.4455107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08645345237974199,"score_gpt":0.3708418056485437,"score_spread":0.2843883532688017,"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."}}