{"id":"W2153927963","doi":"10.1109/mmsp.2004.1436406","title":"Context-based complexity reduction of H.264 in video over wireless applications","year":2005,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Video quality; Wireless; Quality of service; Wireless network; Data compression; Mobile device; Computer network; Real-time computing; Telecommunications; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002394263,0.000490902,0.0002731684,0.0004221685,0.0003091192,0.000305995,0.0003009808,0.0003132528,0.0005888248],"category_scores_gemma":[0.001054228,0.0001512809,0.0002492339,0.0002926546,0.0001984181,0.0003964919,0.0002997981,0.000424652,0.0002185696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002627589,"about_ca_system_score_gemma":0.000398622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002499562,"about_ca_topic_score_gemma":0.005811261,"domain_scores_codex":[0.9997752,0.00003848045,0.000009526569,0.00002131537,0.0001336271,0.00002187648],"domain_scores_gemma":[0.9997527,0.0001054906,0.00003128902,0.00002817555,0.00007026896,0.00001193142],"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":[0.0006560305,0.0001841991,0.001318726,0.0002170022,0.00004712904,0.0004772475,0.0002405619,0.05980494,0.3114511,0.00974386,0.002432554,0.6134266],"study_design_scores_gemma":[0.00009165019,0.0007479814,0.006435262,0.0000642352,0.000137156,0.0009953066,0.000108479,0.7366717,0.2289007,0.006640501,0.01913538,0.00007156713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2011692,0.005742932,0.7846982,0.0004343613,0.0001528652,0.0002020553,0.00007281466,0.0007828469,0.006744713],"genre_scores_gemma":[0.6096967,0.003516281,0.3819124,0.0001774021,0.0002680662,0.00008510654,0.0001460043,0.00007753821,0.004120538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002499562,"threshold_uncertainty_score":0.004970074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752115438774581,"score_gpt":0.2801358462752167,"score_spread":0.2426146918874709,"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."}}