{"id":"W4307205164","doi":"10.1561/0600000099","title":"Video Summarization Overview","year":2022,"lang":"en","type":"article","venue":"Foundations and Trends® in Computer Graphics and Vision","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Automatic summarization; Computer science; Field (mathematics); Multimedia; Data science; World Wide Web; Information retrieval","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":[0.001033084,0.001722285,0.0009410555,0.00355758,0.0006123439,0.002145579,0.001635427,0.001049738,0.01841154],"category_scores_gemma":[0.003946392,0.0004197549,0.0007996476,0.003062776,0.000347468,0.003284996,0.001162351,0.001507879,0.01201287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008746369,"about_ca_system_score_gemma":0.0008941555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003898745,"about_ca_topic_score_gemma":0.004254092,"domain_scores_codex":[0.9989455,0.0001898368,0.0001158225,0.0002584591,0.0004066189,0.00008359453],"domain_scores_gemma":[0.9981747,0.0004027787,0.0001467805,0.0002416906,0.0009176783,0.0001163409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002581142,0.0001111385,0.0005421124,0.001976319,0.0001071174,0.0001625219,0.0001531563,0.006865836,0.01889172,0.006602348,0.106057,0.8582727],"study_design_scores_gemma":[0.0001305561,0.0009916147,0.004271159,0.001096919,0.000341291,0.001757004,0.0005689977,0.1201952,0.07030739,0.0259329,0.774222,0.0001850155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01009836,0.07142887,0.8248706,0.002654833,0.002004022,0.001494232,0.01273716,0.03116122,0.04355073],"genre_scores_gemma":[0.1288447,0.06379668,0.6593513,0.001902044,0.003146446,0.001203139,0.07953985,0.003593998,0.05862174],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01841154,"threshold_uncertainty_score":0.06159276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295081802252739,"score_gpt":0.3016034509537627,"score_spread":0.2786526329312353,"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."}}