{"id":"W4382395205","doi":"10.18280/ts.400340","title":"Gated Recurrent Units and Recurrent Neural Network Based Multimodal Approach for Automatic Video Summarization","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Automatic summarization; Artificial intelligence; Feature extraction; Key frame; Pattern recognition (psychology); Feature (linguistics); Frame (networking); Histogram; Segmentation; Computer vision; 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":[0.0006205268,0.0001812352,0.0001821561,0.0001413714,0.0002248696,0.0001824121,0.0003445251,0.00006116673,0.00001495641],"category_scores_gemma":[0.00004958158,0.0001627064,0.00005253767,0.001145496,0.00004548294,0.0002633742,0.00008394074,0.00009787758,0.000004993404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004802797,"about_ca_system_score_gemma":0.00006655343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003188566,"about_ca_topic_score_gemma":7.042422e-7,"domain_scores_codex":[0.998446,0.0001270553,0.0003592756,0.0004125727,0.0003092249,0.0003459052],"domain_scores_gemma":[0.9991893,0.0001638291,0.0001425022,0.0002123245,0.0001882634,0.0001037839],"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":[0.00008581408,0.0003529616,0.00097034,0.0004041319,0.00005025188,0.000003867047,0.0005888524,0.004440927,0.002737359,0.0120342,0.01119152,0.9671398],"study_design_scores_gemma":[0.0006144049,0.0002297232,0.003885342,0.00004177144,0.00001546345,0.000001282963,0.00001511941,0.991154,0.001916529,0.0003205833,0.001611688,0.0001940843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006941028,0.0000596639,0.9901866,0.0006700638,0.0001770106,0.0009842584,0.00001884038,0.0009021034,0.00006044195],"genre_scores_gemma":[0.9201599,0.00002442092,0.07855101,0.0002282567,0.0001489374,0.0003206864,0.0004802218,0.00002130701,0.00006526928],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9867131,"threshold_uncertainty_score":0.6634973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04189581348938944,"score_gpt":0.2668787222747289,"score_spread":0.2249829087853395,"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."}}