{"id":"W1990975207","doi":"10.1109/isspa.2012.6310611","title":"A fast hybrid DCT architecture supporting H.264, VC-1, MPEG-2, AVS and JPEG codecs","year":2012,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; JPEG; Discrete cosine transform; Codec; Field-programmable gate array; Computer architecture; Transform coding; Adder; Quantization (signal processing); Computer hardware; Embedded system; Parallel computing; Data compression; Algorithm; Image (mathematics); Artificial intelligence; Latency (audio); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003376934,0.000185304,0.0001992098,0.0001398576,0.0002123417,0.0001866759,0.0008069377,0.00006969812,0.00003556721],"category_scores_gemma":[0.0001252422,0.0001373677,0.00005665396,0.0002114063,0.00007983788,0.0003779305,0.0009207512,0.0002699182,0.00004846084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001432335,"about_ca_system_score_gemma":0.00002507584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001646584,"about_ca_topic_score_gemma":0.000003253311,"domain_scores_codex":[0.9985388,0.00004424059,0.0002403898,0.0003575498,0.0002500826,0.0005689427],"domain_scores_gemma":[0.9989622,0.0001137276,0.0001081341,0.0006243682,0.00003700832,0.0001545667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006618092,0.0001034948,0.009300509,0.00003872584,0.00002580572,0.00002497915,0.001236755,0.00004346718,0.004405761,0.03990528,0.01427277,0.9306358],"study_design_scores_gemma":[0.002929103,0.0008499761,0.0254987,0.0004961568,0.0000742169,0.003038794,0.002484059,0.08056923,0.5289273,0.1128536,0.2384282,0.003850613],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2342308,0.0007317076,0.7487409,0.00362006,0.000403822,0.000147761,0.000002777298,0.001856152,0.01026595],"genre_scores_gemma":[0.9535933,0.00002375085,0.04455528,0.0004436466,0.00006835355,0.00001355915,9.994646e-7,0.000009701887,0.001291387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9267852,"threshold_uncertainty_score":0.5601692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415115368953271,"score_gpt":0.249637641927228,"score_spread":0.2354864882376952,"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."}}