{"id":"W4386245195","doi":"10.1109/infocom53939.2023.10228933","title":"AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CODE; National Natural Science Foundation of China","keywords":"Computer science; Video quality; Analytics; Artificial intelligence; Inference; Latency (audio); Artificial neural network; Decoding methods; Real-time computing; Computer vision; Machine learning; Data mining; Algorithm; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006809552,0.001007166,0.0005443774,0.0004585034,0.000282055,0.0006905253,0.00105951,0.0007740551,0.002313706],"category_scores_gemma":[0.003951676,0.0003098244,0.0003104477,0.0003786682,0.0004262184,0.0008804665,0.0008926279,0.00174461,0.001081414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005659458,"about_ca_system_score_gemma":0.001606213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008426286,"about_ca_topic_score_gemma":0.01753035,"domain_scores_codex":[0.9995241,0.00007505618,0.00002849518,0.0001299421,0.0001920079,0.0000505138],"domain_scores_gemma":[0.9990944,0.0003292378,0.00005891924,0.0001179542,0.0003503676,0.00004906852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006039289,0.0002694279,0.002400039,0.0001981872,0.000114107,0.0002653414,0.0001662473,0.2430669,0.04887488,0.01143008,0.01763584,0.6749749],"study_design_scores_gemma":[0.00001647236,0.00005375191,0.0001957835,0.00001196837,0.000009537126,0.00005595501,0.000009557722,0.9832351,0.01182157,0.002045881,0.002533908,0.00001037936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01736528,0.0006312678,0.973663,0.0002538424,0.0001848517,0.00006928048,0.0003137832,0.004809715,0.002709059],"genre_scores_gemma":[0.352925,0.0006579015,0.6352573,0.0005694254,0.000170981,0.000199803,0.001443717,0.0005603671,0.008215467],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008426286,"threshold_uncertainty_score":0.01675445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07668023007045321,"score_gpt":0.3578334811042763,"score_spread":0.2811532510338231,"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."}}