{"id":"W2171415794","doi":"10.1109/crv.2006.78","title":"Toward an Application of Content-Based Video Indexing to Computer- Assisted Descriptive Video","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Search engine indexing; Video processing; Video tracking; Multimedia; Categorization; Usability; Video content analysis; Key (lock); Artificial intelligence; Face detection; Facial recognition system; Computer vision; Feature extraction; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001487004,0.00049797,0.0005767159,0.002413836,0.0004435502,0.002055442,0.001553993,0.0007734844,0.003350895],"category_scores_gemma":[0.004191618,0.0003190874,0.0004061435,0.001757075,0.0007911104,0.001993802,0.0008455052,0.0007377811,0.001940238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007869206,"about_ca_system_score_gemma":0.000622917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00233313,"about_ca_topic_score_gemma":0.001415575,"domain_scores_codex":[0.9992225,0.0001709123,0.00005431217,0.0001387032,0.0003611973,0.00005237595],"domain_scores_gemma":[0.9980458,0.0007357004,0.00007516664,0.0004089127,0.0006519325,0.00008233559],"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":[0.0003123282,0.0002075158,0.001078644,0.0003684315,0.00003409688,0.0001723896,0.0004606521,0.003217115,0.09219074,0.02273324,0.00678964,0.8724352],"study_design_scores_gemma":[0.0001587457,0.0007456452,0.004865457,0.0003038731,0.0001981389,0.002119669,0.0008377428,0.4013964,0.4104471,0.0439297,0.1348735,0.0001239723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009629082,0.0008655984,0.9809402,0.0002143633,0.00005772503,0.0002778647,0.00009805509,0.003825838,0.004091249],"genre_scores_gemma":[0.08999843,0.001411102,0.9028395,0.0001258482,0.0001537904,0.0002061109,0.0005655506,0.0003686158,0.004331009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003350895,"threshold_uncertainty_score":0.01120985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05577156816139917,"score_gpt":0.291320725459123,"score_spread":0.2355491572977239,"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."}}