{"id":"W2096515175","doi":"10.1109/ical.2008.4636160","title":"New similarity measure for illumination invariant content-based image retrieval","year":2008,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Standard illuminant; Similarity measure; Image retrieval; Artificial intelligence; Pattern recognition (psychology); Content-based image retrieval; Similarity (geometry); Computer science; Histogram; Invariant (physics); Measure (data warehouse); Visual Word; Image (mathematics); Computer vision; Mathematics; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004193342,0.0001280006,0.0001498221,0.00008975094,0.0002060133,0.00009628951,0.0005552379,0.00009461997,0.00004386678],"category_scores_gemma":[0.0003748375,0.0001089165,0.0001097505,0.0003816563,0.00006285703,0.0005859846,0.00005194175,0.00009504556,0.00002487237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006954475,"about_ca_system_score_gemma":0.0003386052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004262195,"about_ca_topic_score_gemma":0.000004420973,"domain_scores_codex":[0.9987897,0.00004741778,0.0002496555,0.0003410161,0.0003590656,0.000213168],"domain_scores_gemma":[0.9986962,0.0001103673,0.0001047612,0.0004343606,0.0005327414,0.0001215877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002133012,0.0003180791,0.0003172143,0.00006080791,0.00003321606,0.00002811849,0.0004084721,5.792593e-7,0.7336414,0.1967692,0.02515714,0.04305241],"study_design_scores_gemma":[0.0007328765,0.0001381999,0.001884946,0.000009525138,0.000006002545,0.00001294402,0.00001426442,0.01261448,0.9781896,0.001572537,0.004627632,0.0001970088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003532213,0.0000332838,0.991282,0.005888603,0.0001145435,0.0004461417,0.000004856546,0.0005441259,0.001333261],"genre_scores_gemma":[0.1640181,0.000009815487,0.8306136,0.001118982,0.00008324587,0.00001850752,0.00001519304,0.00001238643,0.004110198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2445482,"threshold_uncertainty_score":0.4441486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07771548833316681,"score_gpt":0.2685726344193766,"score_spread":0.1908571460862098,"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."}}