{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002198975,0.0001585314,0.0002059123,0.0001756977,0.0003138915,0.0000706607,0.001377041,0.0001128826,0.000006848732],"category_scores_gemma":[0.000004052758,0.0001493841,0.00005210029,0.0007028742,0.00009360618,0.000244546,0.0002567423,0.0001938093,0.00002399646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003029693,"about_ca_system_score_gemma":0.00008300294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001442199,"about_ca_topic_score_gemma":1.331084e-7,"domain_scores_codex":[0.9986564,0.0001089143,0.0003107356,0.0004685313,0.0002158264,0.0002395964],"domain_scores_gemma":[0.9985239,0.0002114982,0.0001213904,0.0008963658,0.0001741403,0.0000727091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001168502,0.0002742741,0.000016139,0.00002177805,0.00001631495,0.000001363114,0.0004685383,0.6397662,0.1351336,0.005562929,0.0006472882,0.2180799],"study_design_scores_gemma":[0.0004842013,0.0001341396,0.0002320764,0.00002502065,0.000008006999,0.0001617648,0.00001110333,0.9213259,0.06730718,0.00781611,0.002264793,0.0002296649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003404194,0.00006182287,0.9947798,0.0003624123,0.00001605878,0.0006076162,0.000003983394,0.0007036353,0.00006053584],"genre_scores_gemma":[0.1653519,0.00001510996,0.8342779,0.00006371222,0.00002860968,0.0001954225,0.000006316072,0.000009626242,0.00005148476],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2815598,"threshold_uncertainty_score":0.6091707,"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."}}