{"id":"W2110241600","doi":"10.1109/cvpr.2008.4587654","title":"Histogram-based search: A comparative study","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Histogram; Histogram matching; Adaptive histogram equalization; Balanced histogram thresholding; Image histogram; Computer science; Artificial intelligence; Pattern recognition (psychology); Computation; Feature (linguistics); Representation (politics); Mathematics; Algorithm; Histogram equalization; Image (mathematics); Image processing; Binary image","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002269826,0.0003322515,0.001025136,0.005145168,0.0004406858,0.001544045,0.001233461,0.0008621957,0.006077528],"category_scores_gemma":[0.01404614,0.0001673281,0.000496258,0.007142177,0.0004518776,0.003299015,0.0008410267,0.0003053096,0.001046674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007831816,"about_ca_system_score_gemma":0.0007929557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003694045,"about_ca_topic_score_gemma":0.002641778,"domain_scores_codex":[0.9977739,0.0005262727,0.0001324498,0.0002075885,0.001262465,0.0000971695],"domain_scores_gemma":[0.9918324,0.005444231,0.0002895258,0.0005781458,0.001699735,0.0001559321],"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":[0.00085728,0.0002334295,0.006132892,0.00126399,0.0002012725,0.00008348782,0.0002327679,0.02559449,0.003228668,0.01466584,0.00523746,0.9422684],"study_design_scores_gemma":[0.0004016427,0.004230965,0.04429721,0.000924445,0.0008067776,0.004059736,0.002162983,0.7741625,0.03229287,0.04015823,0.09623635,0.0002663528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3264722,0.1823058,0.383573,0.001429505,0.0004370969,0.0005758012,0.001321368,0.002795373,0.1010898],"genre_scores_gemma":[0.8250261,0.03176469,0.1334535,0.0002586677,0.0002826793,0.0001337829,0.001573153,0.000385819,0.007121559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006077528,"threshold_uncertainty_score":0.02033138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482680748941752,"score_gpt":0.3620739729071026,"score_spread":0.2138058980129274,"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."}}