{"id":"W2385895168","doi":"","title":"Fast Motion Search Algorithm Based on All-zero Block Detection in H.264","year":2007,"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; Discrete cosine transform; Algorithm; Quantization (signal processing); Motion estimation; Search algorithm; Coding (social sciences); Block (permutation group theory); Reduction (mathematics); Computer vision; Artificial intelligence; Mathematics; Image (mathematics)","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":[0.0004199123,0.0001714344,0.0001402333,0.0005684487,0.0001852935,0.0001358544,0.0009905596,0.0001377248,0.000002185368],"category_scores_gemma":[0.000001312207,0.0001716057,0.00006492197,0.0009833254,0.00004252576,0.0001450501,0.0002512664,0.0003330636,0.0001185109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344432,"about_ca_system_score_gemma":0.00002594874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003277298,"about_ca_topic_score_gemma":0.00001412365,"domain_scores_codex":[0.9984297,0.00004249721,0.0003046103,0.000585525,0.0002495244,0.0003882085],"domain_scores_gemma":[0.9989515,0.0001244134,0.0000692282,0.0006959395,0.00008261777,0.0000763018],"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":[0.000002645006,0.0001763452,0.0000592371,0.000006001595,0.000003540186,0.000003383656,0.0000827431,0.00248429,0.0101626,0.0009246311,0.0001903939,0.9859042],"study_design_scores_gemma":[0.0006935792,0.0001305504,0.004321508,0.00004900526,0.00000433574,0.00002556079,0.00003115631,0.6290277,0.3182307,0.002813724,0.0442761,0.0003960064],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003838601,0.00002761399,0.9937194,0.000787069,0.00004317343,0.000479693,0.000002271887,0.0007269573,0.0003752077],"genre_scores_gemma":[0.6184467,0.000004720128,0.3808418,0.0004304402,0.00005471844,0.0001587971,0.000005493454,0.00001130922,0.00004602259],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9855082,"threshold_uncertainty_score":0.6997876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621880770841542,"score_gpt":0.2666304588034315,"score_spread":0.2504116510950161,"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."}}