{"id":"W2110807087","doi":"10.1109/iscas.2008.4541549","title":"Realizing high throughput transforms of H.264/AVC","year":2008,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Throughput; Latency (audio); Parallel computing; Field-programmable gate array; Algorithm; Computer hardware; Real-time computing; Telecommunications","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":[0.0002616105,0.0005176461,0.0003189435,0.000564403,0.0003579514,0.0006336222,0.0005765532,0.0003976325,0.002459954],"category_scores_gemma":[0.0006252188,0.0002543195,0.0002931148,0.0004624805,0.0002742564,0.000769784,0.0003329605,0.0005346771,0.001120352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004649938,"about_ca_system_score_gemma":0.0005161953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256223,"about_ca_topic_score_gemma":0.002282954,"domain_scores_codex":[0.9996499,0.00002622176,0.00001725895,0.00004193492,0.0002129214,0.0000517223],"domain_scores_gemma":[0.9997988,0.00005431489,0.00002571582,0.00003014511,0.0000790924,0.00001182673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005170854,0.0001215586,0.0006268994,0.0002039322,0.00003900232,0.0008592188,0.0001659097,0.02579615,0.6547908,0.03447405,0.005498958,0.2769065],"study_design_scores_gemma":[0.00009598974,0.0003065036,0.0008887218,0.00002742096,0.00003943373,0.00094185,0.00006340149,0.2827066,0.6846001,0.006874902,0.02340427,0.00005078324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07093348,0.0005878514,0.9097363,0.0001749502,0.000161229,0.0001963155,0.0002131952,0.002934092,0.01506252],"genre_scores_gemma":[0.4477104,0.0004990653,0.5412468,0.000100623,0.0001248411,0.0001086161,0.0005694197,0.0002177272,0.009422615],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002459954,"threshold_uncertainty_score":0.008229315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0326227870681227,"score_gpt":0.2256693000724742,"score_spread":0.1930465130043515,"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."}}