{"id":"W2157149066","doi":"10.1109/iccd.2008.4751872","title":"Application Specific Instruction set processor specialized for block motion estimation","year":2008,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Register file; Block (permutation group theory); Field-programmable gate array; Instruction set; Parallel computing; Computer architecture; Set (abstract data type); Implementation; Architecture; Block size; Processor register; Microarchitecture; Motion estimation; Computer hardware; Programming language; Algorithm; Operating system","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":[0.0001034974,0.0001014544,0.0001107943,0.0001376217,0.0002930432,0.00006414063,0.0004313196,0.00008352569,0.000004429977],"category_scores_gemma":[0.00004444507,0.00008953326,0.00004390531,0.0003746985,0.0000382828,0.0004471832,0.00007285129,0.0000626431,0.00003738881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004268821,"about_ca_system_score_gemma":0.00002300567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004848088,"about_ca_topic_score_gemma":9.042418e-7,"domain_scores_codex":[0.999104,0.00001401044,0.0002104919,0.0003397332,0.0001843573,0.0001474364],"domain_scores_gemma":[0.999297,0.00003264927,0.0001199002,0.0003951164,0.0001265615,0.00002875635],"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":[0.00002300189,0.00006943641,0.0002086492,0.00002849495,0.000006398089,7.193912e-7,0.0002863658,0.001491271,0.005174821,0.110497,0.009101702,0.8731122],"study_design_scores_gemma":[0.001242678,0.0001152034,0.002484705,0.00002124641,0.000004552892,0.00009495531,0.00005970349,0.7612318,0.1479936,0.05397475,0.03245606,0.0003207531],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0389226,0.00003139209,0.9579645,0.0008414811,0.0002185211,0.0003980674,0.000001246487,0.001125376,0.0004967879],"genre_scores_gemma":[0.8120033,0.00003812471,0.1873203,0.00003618093,0.00007541866,0.0001734235,0.000009660064,0.000005780716,0.0003379092],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8727914,"threshold_uncertainty_score":0.365106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04211386799589256,"score_gpt":0.2681402165439037,"score_spread":0.2260263485480111,"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."}}