{"id":"W2525751324","doi":"10.1007/s11760-016-0978-2","title":"A receiver aware H.264/AVC encoder for decoder complexity control in mobile applications","year":2016,"lang":"en","type":"article","venue":"Signal Image and Video Processing","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Encoder; Macroblock; Soft-decision decoder; Decoding methods; Computational complexity theory; Real-time computing; Video decoder; Controller (irrigation); Computer engineering; Embedded system; Computer hardware; Algorithm","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":[0.0003005158,0.0001551379,0.0002153572,0.0001379174,0.000277052,0.0002249891,0.0005084194,0.00008315122,0.00001318992],"category_scores_gemma":[0.00004641104,0.000106438,0.00004685583,0.0002401653,0.0001770596,0.0008267217,0.0001563005,0.0001020606,0.000008807403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003154708,"about_ca_system_score_gemma":0.00007579022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007724027,"about_ca_topic_score_gemma":0.000009438153,"domain_scores_codex":[0.9987674,0.00004314394,0.0002556668,0.0004836926,0.0001347301,0.0003154152],"domain_scores_gemma":[0.9991177,0.0002623665,0.0001118626,0.0002818729,0.0001621518,0.00006407862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002477209,0.00006539946,0.0006159781,0.00007934881,0.000006773026,0.00000329913,0.0002176085,0.000009533785,0.03265685,0.001370608,0.0007168693,0.964233],"study_design_scores_gemma":[0.00865405,0.0005717199,0.002353922,0.001737202,0.00005708518,0.00008036622,0.000849703,0.3486063,0.1395227,0.4384873,0.05723614,0.001843507],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002088041,0.001028589,0.994415,0.001424812,0.00002265489,0.000552111,0.00001123126,0.000301403,0.0001561083],"genre_scores_gemma":[0.9588793,0.00004659756,0.03954283,0.0003712109,0.00003816665,0.0009654143,0.00000107638,0.00001112213,0.0001442798],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9623895,"threshold_uncertainty_score":0.4340416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768466528973348,"score_gpt":0.2945136190075927,"score_spread":0.2668289537178592,"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."}}