{"id":"https://openalex.org/W2142380964","doi":"https://doi.org/10.1007/s13735-014-0068-6","title":"Weakly supervised detection of video events using hidden conditional random fields","display_name":"Weakly supervised detection of video events using hidden conditional random fields","publication_year":2014,"publication_date":"2014-09-28","ids":{"openalex":"https://openalex.org/W2142380964","doi":"https://doi.org/10.1007/s13735-014-0068-6","mag":"2142380964"},"language":"en","primary_location":{"id":"doi:10.1007/s13735-014-0068-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13735-014-0068-6","pdf_url":null,"source":{"id":"https://openalex.org/S2496055428","display_name":"International Journal of Multimedia Information Retrieval","issn_l":"2192-6611","issn":["2192-6611","2192-662X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Information Retrieval","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013527575","display_name":"Kimiaki Shirahama","orcid":"https://orcid.org/0000-0003-1843-5152"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Kimiaki Shirahama","raw_affiliation_strings":["Pattern Recognition Group, University of Siegen, Hoelderlinstr. 3, 57076, Siegen, Germany","University of  Siegen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Group, University of Siegen, Hoelderlinstr. 3, 57076, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]},{"raw_affiliation_string":"University of  Siegen","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037990310","display_name":"Marcin Grzegorzek","orcid":"https://orcid.org/0000-0003-4877-8287"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcin Grzegorzek","raw_affiliation_strings":["Pattern Recognition Group, University of Siegen, Hoelderlinstr. 3, 57076, Siegen, Germany","University of  Siegen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Group, University of Siegen, Hoelderlinstr. 3, 57076, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]},{"raw_affiliation_string":"University of  Siegen","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023847482","display_name":"Kuniaki Uehara","orcid":"https://orcid.org/0000-0002-7160-3752"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kuniaki Uehara","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, 1-1, Rokkodai, Nada, Kobe, 657-8501, Japan","Kobe University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, 1-1, Rokkodai, Nada, Kobe, 657-8501, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Kobe University","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013527575"],"corresponding_institution_ids":["https://openalex.org/I206895457"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":0.2676,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66277458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":"1","first_page":"17","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.8997131586074829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8530280590057373},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8218151330947876},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7235893607139587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6901776790618896},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5717425346374512},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5596311092376709},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5568128824234009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4754062592983246},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4573274850845337},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44130781292915344},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4330238103866577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42721283435821533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08091068267822266}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.8997131586074829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8530280590057373},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8218151330947876},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7235893607139587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6901776790618896},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5717425346374512},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5596311092376709},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5568128824234009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4754062592983246},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4573274850845337},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44130781292915344},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4330238103866577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42721283435821533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08091068267822266},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13735-014-0068-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13735-014-0068-6","pdf_url":null,"source":{"id":"https://openalex.org/S2496055428","display_name":"International Journal of Multimedia Information Retrieval","issn_l":"2192-6611","issn":["2192-6611","2192-662X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Information Retrieval","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.47999998927116394,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4342541381","display_name":"Development of video retrieval engine by using a large-scale video corpus","funder_award_id":"26280040","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W29689898","https://openalex.org/W51979146","https://openalex.org/W53615099","https://openalex.org/W125550756","https://openalex.org/W156236617","https://openalex.org/W1607586839","https://openalex.org/W1990190154","https://openalex.org/W1993518282","https://openalex.org/W2031404913","https://openalex.org/W2042381449","https://openalex.org/W2048764735","https://openalex.org/W2060940994","https://openalex.org/W2062903088","https://openalex.org/W2089150756","https://openalex.org/W2101534792","https://openalex.org/W2110364349","https://openalex.org/W2112400350","https://openalex.org/W2118978333","https://openalex.org/W2122594606","https://openalex.org/W2123654294","https://openalex.org/W2125134356","https://openalex.org/W2130567847","https://openalex.org/W2133699278","https://openalex.org/W2137117795","https://openalex.org/W2141355815","https://openalex.org/W2141688512","https://openalex.org/W2145835757","https://openalex.org/W2147668753","https://openalex.org/W2147880316","https://openalex.org/W2152899661","https://openalex.org/W2156615793","https://openalex.org/W2156772624","https://openalex.org/W2252254117","https://openalex.org/W2290542723","https://openalex.org/W2341020695","https://openalex.org/W2429638696","https://openalex.org/W2912934387","https://openalex.org/W4248215879","https://openalex.org/W4252911702","https://openalex.org/W4296262844"],"related_works":["https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2163278254","https://openalex.org/W1574213390","https://openalex.org/W2167155152"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
