{"id":"W2117355431","doi":"10.1109/ccece.2011.6030530","title":"Performance-optimized FPGA implementation for the flexible triangle search block-based motion estimation algorithm","year":2011,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Field-programmable gate array; Block (permutation group theory); Computer science; VHDL; Motion estimation; Algorithm; Virtex; Process (computing); Frame rate; Matching (statistics); Search algorithm; Frame (networking); Parallel computing; Computer hardware; Artificial intelligence; Mathematics","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":[0.0001656629,0.0002913876,0.0002067666,0.0003453859,0.0001404293,0.0003347809,0.0006527664,0.0002047539,0.00423334],"category_scores_gemma":[0.0004948381,0.0001190016,0.0001631159,0.0002548776,0.00007835431,0.000315473,0.0001490014,0.0002530398,0.000763707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003899345,"about_ca_system_score_gemma":0.0004959821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002806349,"about_ca_topic_score_gemma":0.003802754,"domain_scores_codex":[0.9998104,0.00002795083,0.00001638727,0.00002305134,0.000086305,0.00003597858],"domain_scores_gemma":[0.9998467,0.00004092224,0.00001936883,0.00002606241,0.00005765647,0.000009167397],"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":[0.001126551,0.0001399325,0.002224662,0.0002873011,0.00008646243,0.00038345,0.0001156872,0.1382914,0.2360511,0.01139134,0.005632264,0.6042699],"study_design_scores_gemma":[0.0001857674,0.0007533969,0.00244253,0.00003308749,0.00005826896,0.0005818264,0.00003021988,0.8316587,0.141797,0.0009728151,0.02145286,0.00003365508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1190512,0.0005733649,0.8623068,0.0001297014,0.0001237682,0.0002074841,0.0002143179,0.003543913,0.01384951],"genre_scores_gemma":[0.6431434,0.0001911426,0.3502094,0.00006442427,0.00002334613,0.0001055143,0.0004114839,0.0001023998,0.005748796],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00423334,"threshold_uncertainty_score":0.01416188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08563083932254277,"score_gpt":0.3157029275749887,"score_spread":0.230072088252446,"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."}}