{"id":"https://openalex.org/W2183227089","doi":null,"title":"University of Siegen, Kobe University and Muroran Institute of Technology at TRECVID 2013 Multimedia Event Detection","display_name":"University of Siegen, Kobe University and Muroran Institute of Technology at TRECVID 2013 Multimedia Event Detection","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2183227089","mag":"2183227089"},"language":"en","primary_location":{"id":"mag:2183227089","doi":null,"is_oa":false,"landing_page_url":"https://www-nlpir.nist.gov/projects/tvpubs/tv13.papers/siegen_kobe_muro.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306533295","display_name":"TRECVID","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"TRECVID","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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","observed_orcids":["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":false,"raw_author_name":"Kimiaki Shirahama","raw_affiliation_strings":["University of Siegen"],"raw_orcid":"https://orcid.org/0000-0003-1843-5152","affiliations":[{"raw_affiliation_string":"University of Siegen","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369815","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-1687-4461","observed_orcids":["https://orcid.org/0000-0002-1687-4461"]},"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":"Chen Li","raw_affiliation_strings":["University of Siegen"],"raw_orcid":"https://orcid.org/0000-0002-1687-4461","affiliations":[{"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","observed_orcids":["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":["University of Siegen"],"raw_orcid":"https://orcid.org/0000-0003-4877-8287","affiliations":[{"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","observed_orcids":["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":["Kobe University,"],"raw_orcid":"https://orcid.org/0000-0002-7160-3752","affiliations":[{"raw_affiliation_string":"Kobe University,","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9672999978065491,"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":0.9672999978065491,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.016200000420212746,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.003100000089034438,"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/multimedia-event-detection","display_name":"multimedia event detection","score":0.9800000190734863},{"id":"https://openalex.org/keywords/weakly-supervised-learning","display_name":"weakly supervised learning","score":0.8840000033378601},{"id":"https://openalex.org/keywords/hidden-conditional-random-fields","display_name":"hidden conditional random fields","score":0.9760000109672546}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7237586975097656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6766157150268555},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5600355267524719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5325796604156494},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.48512065410614014},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4597295820713043},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.43027523159980774},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4206581711769104},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35499781370162964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3355415463447571},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09666162729263306},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07640579342842102},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2183227089","doi":null,"is_oa":false,"landing_page_url":"https://www-nlpir.nist.gov/projects/tvpubs/tv13.papers/siegen_kobe_muro.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306533295","display_name":"TRECVID","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"TRECVID","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W125550756","https://openalex.org/W1607586839","https://openalex.org/W1971318281","https://openalex.org/W1980911747","https://openalex.org/W2003686830","https://openalex.org/W2025363509","https://openalex.org/W2042381449","https://openalex.org/W2062903088","https://openalex.org/W2089150756","https://openalex.org/W2101534792","https://openalex.org/W2112645048","https://openalex.org/W2137117795","https://openalex.org/W2144080413","https://openalex.org/W2162250601","https://openalex.org/W2341020695","https://openalex.org/W2915649242","https://openalex.org/W2917663306"],"related_works":["https://openalex.org/W2142380964","https://openalex.org/W1997292542","https://openalex.org/W2274583232","https://openalex.org/W1998654057","https://openalex.org/W2152899661","https://openalex.org/W7100985479","https://openalex.org/W2182393232","https://openalex.org/W2188794438","https://openalex.org/W2336204492","https://openalex.org/W2306404098"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"our":[3,99,136],"method":[4],"developed":[5],"for":[6],"TRECVID":[7],"2013":[8],"Multimedia":[9],"Event":[10],"Detection":[11],"task.":[12],"The":[13,20,37],"following":[14],"two":[15],"problems":[16],"are":[17,52,68],"mainly":[18],"addressed:":[19],"first":[21],"is":[22,39,73],"weakly":[23],"supervised":[24],"setting":[25],"where":[26,70],"training":[27],"videos":[28],"contain":[29],"many":[30],"shots":[31,47,77],"irrelevant":[32],"to":[33,49,81],"a":[34,79,91],"target":[35],"event.":[36],"other":[38],"the":[40,50,71,88,95,110,117,131],"diversity":[41],"of":[42,85,121,135],"visual":[43,57],"appearances,":[44],"meaning":[45],"that":[46],"relevant":[48],"event":[51,72,96],"characterised":[53],"by":[54,75],"significantly":[55],"different":[56],"appearances.":[58],"To":[59],"overcome":[60],"these":[61],"problems,":[62],"Hidden":[63],"Conditional":[64],"Random":[65],"Fields":[66],"(HCRFs)":[67],"used":[69],"detected":[74],"assigning":[76],"in":[78],"video":[80],"hidden":[82],"states,":[83],"each":[84],"which":[86],"represents":[87],"compatibility":[89],"between":[90],"feature":[92],"combination":[93],"and":[94,133],"label.":[97],"Although":[98],"submitted":[100],"run":[101],"SiegenKobeMuro":[102],"MED13":[103],"VisualSys":[104],"PROGAll":[105],"PS":[106],"100Ex":[107],"6":[108],"on":[109,125],"progress":[111],"search":[112],"set":[113,129],"was":[114],"ranked":[115],"at":[116],"low":[118],"position":[119],"(MAP":[120],"4:1%),":[122],"preliminary":[123],"experiments":[124],"MED":[126],"Test":[127],"Background":[128],"show":[130],"effectiveness":[132],"potential":[134],"method.":[137]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}
