{"id":"W2367730536","doi":"","title":"An Optimized Design of Full Search Variable Block Size Motion Estimation Architecture","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Motion estimation; Block size; Very-large-scale integration; Redundancy (engineering); Coding (social sciences); Architecture; Variable (mathematics); Computer hardware; Computer architecture; Real-time computing; Parallel computing; Computer engineering; Embedded system; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001002501,0.0002407941,0.0002121385,0.0002588817,0.0001551301,0.0002968866,0.000504611,0.0002374131,0.001663908],"category_scores_gemma":[0.0001690187,0.0001861759,0.0001626934,0.0002375616,0.0000746532,0.0002952734,0.000126803,0.0001657417,0.0002898677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000320276,"about_ca_system_score_gemma":0.0007019984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784128,"about_ca_topic_score_gemma":0.004031921,"domain_scores_codex":[0.9999154,0.00001290368,0.000005153878,0.0000190568,0.00003144957,0.00001608099],"domain_scores_gemma":[0.9999332,0.00001095163,0.00001218907,0.000006705283,0.0000325293,0.000004365508],"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":[0.000342476,0.00009604084,0.002053606,0.0002565426,0.0001008766,0.0002808316,0.000136707,0.2713061,0.4087833,0.02090414,0.004012141,0.2917273],"study_design_scores_gemma":[0.00006879232,0.000531242,0.002035923,0.00001575709,0.00004887345,0.0002549491,0.00002488615,0.9351948,0.05123056,0.00165217,0.008915967,0.00002604308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1380651,0.0006896127,0.8488901,0.0001431604,0.00008832718,0.0001085393,0.0001434148,0.001228227,0.01064355],"genre_scores_gemma":[0.7611306,0.0002461826,0.2324556,0.00007811793,0.00002786303,0.0001190183,0.0001575489,0.0000327305,0.005752353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001784128,"threshold_uncertainty_score":0.005566299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118863934042314,"score_gpt":0.2513594770270475,"score_spread":0.2301708376866244,"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."}}