{"id":"https://openalex.org/W2072117168","doi":"https://doi.org/10.1145/2324796.2324825","title":"Social event detection using multimodal clustering and integrating supervisory signals","display_name":"Social event detection using multimodal clustering and integrating supervisory signals","publication_year":2012,"publication_date":"2012-06-05","ids":{"openalex":"https://openalex.org/W2072117168","doi":"https://doi.org/10.1145/2324796.2324825","mag":"2072117168"},"language":"en","primary_location":{"id":"doi:10.1145/2324796.2324825","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2324796.2324825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://zenodo.org/record/3438633","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032082966","display_name":"Georgios Petkos","orcid":"https://orcid.org/0000-0002-7185-9598"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Georgios Petkos","raw_affiliation_strings":["Informatics and Telematics Institute, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Informatics and Telematics Institute, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013616365","display_name":"Symeon Papadopoulos","orcid":"https://orcid.org/0000-0002-5441-7341"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Symeon Papadopoulos","raw_affiliation_strings":["Informatics and Telematics Institute, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Informatics and Telematics Institute, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084122016","display_name":"Ioannis Kompatsiaris","orcid":"https://orcid.org/0000-0001-6447-9020"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Yiannis Kompatsiaris","raw_affiliation_strings":["Informatics and Telematics Institute, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Informatics and Telematics Institute, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032082966"],"corresponding_institution_ids":["https://openalex.org/I4210093649"],"apc_list":null,"apc_paid":null,"fwci":9.85853806,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.98786079,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.8695395588874817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7886835336685181},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6047484278678894},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.5710976719856262},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5246289372444153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.469091534614563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4480592608451843},{"id":"https://openalex.org/keywords/conceptual-clustering","display_name":"Conceptual clustering","score":0.43274545669555664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4312218427658081},{"id":"https://openalex.org/keywords/brown-clustering","display_name":"Brown clustering","score":0.41476574540138245},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.29893410205841064},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.2431480586528778},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11334702372550964}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8695395588874817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7886835336685181},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6047484278678894},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.5710976719856262},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5246289372444153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.469091534614563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4480592608451843},{"id":"https://openalex.org/C39235581","wikidata":"https://www.wikidata.org/wiki/Q5158434","display_name":"Conceptual clustering","level":5,"score":0.43274545669555664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4312218427658081},{"id":"https://openalex.org/C167984511","wikidata":"https://www.wikidata.org/wiki/Q17003931","display_name":"Brown clustering","level":5,"score":0.41476574540138245},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.29893410205841064},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.2431480586528778},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11334702372550964},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2324796.2324825","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2324796.2324825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:3438633","is_oa":true,"landing_page_url":"https://zenodo.org/record/3438633","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3438633","is_oa":true,"landing_page_url":"https://zenodo.org/record/3438633","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1910002309","display_name":null,"funder_award_id":"287975","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W11244355","https://openalex.org/W165525898","https://openalex.org/W1517256600","https://openalex.org/W1989085630","https://openalex.org/W2011699475","https://openalex.org/W2050050904","https://openalex.org/W2073459066","https://openalex.org/W2079361215","https://openalex.org/W2084509005","https://openalex.org/W2084979067","https://openalex.org/W2099132887","https://openalex.org/W2124499489","https://openalex.org/W2134455794","https://openalex.org/W2141917706","https://openalex.org/W2142109962","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2165874743","https://openalex.org/W2296604845","https://openalex.org/W2395309876","https://openalex.org/W2401150368","https://openalex.org/W2404732344","https://openalex.org/W2522338500","https://openalex.org/W2613433911","https://openalex.org/W6600459962"],"related_works":["https://openalex.org/W4322720815","https://openalex.org/W4313529667","https://openalex.org/W4322720812","https://openalex.org/W2899601636","https://openalex.org/W2136340099","https://openalex.org/W2607137685","https://openalex.org/W4366850523","https://openalex.org/W3168918549","https://openalex.org/W4206655101","https://openalex.org/W2124830874"],"abstract_inverted_index":{"A":[0],"large":[1],"variety":[2,42],"of":[3,20,25,43,74,77,83,148,163,168,185],"features":[4,48],"can":[5,36],"be":[6,31,37,63],"extracted":[7],"from":[8],"raw":[9],"multimedia":[10,21,78],"items.":[11],"Moreover,":[12,170],"in":[13,17,57,106,111],"many":[14],"contexts,":[15],"like":[16],"the":[18,72,81,107,115,125,149,161,171,183],"case":[19],"uploaded":[22],"by":[23],"users":[24],"social":[26,85,127,186],"media":[27],"platforms,":[28],"items":[29,79],"may":[30],"linked":[32],"to":[33,55,89,113,135,182,190],"metadata":[34],"that":[35,61,141],"very":[38],"useful":[39],"for":[40,65],"a":[41,58,92,103,136,164],"analysis":[44],"tasks.":[45],"Nevertheless,":[46],"such":[47],"are":[49,53],"typically":[50],"heterogeneous":[51],"and":[52,118,132,158],"difficult":[54],"combine":[56],"unified":[59],"representation":[60],"would":[62],"suitable":[64],"analysis.":[66],"In":[67,87],"this":[68],"paper,":[69],"we":[70],"discuss":[71],"problem":[73],"clustering":[75,95,105,119,139,156,193],"collections":[76],"with":[80],"purpose":[82],"detecting":[84],"events.":[86],"order":[88,112],"achieve":[90],"this,":[91],"novel":[93],"multimodal":[94,116,137,192],"algorithm":[96],"is":[97,122,133,178],"proposed.":[98],"The":[99],"proposed":[100,172],"method":[101],"uses":[102,142],"known":[104],"currently":[108],"examined":[109],"domain,":[110],"supervise":[114],"fusion":[117],"procedure.":[120],"It":[121],"tested":[123],"on":[124],"MediaEval":[126],"event":[128,187],"detection":[129],"challenge":[130],"data":[131],"compared":[134],"spectral":[138],"approach":[140,173],"early":[143],"fusion.":[144],"By":[145],"taking":[146],"advantage":[147],"explicit":[150],"supervisory":[151],"signal,":[152],"it":[153,177],"achieves":[154],"superior":[155],"accuracy":[157],"additionally":[159],"requires":[160],"specification":[162],"much":[165],"smaller":[166],"number":[167],"parameters.":[169],"has":[174],"wider":[175],"scope;":[176],"not":[179],"only":[180],"applicable":[181],"task":[184],"detection,":[188],"but":[189],"other":[191],"problems":[194],"as":[195],"well.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":19},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":2}],"updated_date":"2026-02-05T00:54:17.221276","created_date":"2016-06-24T00:00:00"}