{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005934697,0.0004742621,0.0002800315,0.0004841651,0.0001645831,0.0003704293,0.0005683557,0.0003448386,0.001184399],"category_scores_gemma":[0.002035854,0.000142733,0.0002360244,0.0002981491,0.0003291013,0.0005092206,0.0007479578,0.0005984463,0.0004836642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003666974,"about_ca_system_score_gemma":0.0005031885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0016381,"about_ca_topic_score_gemma":0.002113318,"domain_scores_codex":[0.999732,0.00005143656,0.00001347003,0.00003851275,0.000140554,0.00002409528],"domain_scores_gemma":[0.9994814,0.000124731,0.00005618389,0.0001425156,0.0001733065,0.00002179073],"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":[0.0003305851,0.0001856092,0.001603749,0.000101573,0.00003809259,0.00008653415,0.0001556298,0.2151331,0.1948664,0.01115273,0.002902679,0.5734432],"study_design_scores_gemma":[0.000007106313,0.00005444997,0.0004285551,0.000006947279,0.000006300661,0.00005685861,0.000007751779,0.9592464,0.03780842,0.001368175,0.00100033,0.000008756466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0412711,0.000142719,0.9553255,0.0001059982,0.00003507775,0.00006460264,0.00006619781,0.001247993,0.00174083],"genre_scores_gemma":[0.634315,0.0001643763,0.3619941,0.0001227916,0.0000339254,0.0000961685,0.0003006371,0.0002192273,0.00275372],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0016381,"threshold_uncertainty_score":0.003962219,"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."}}