{"id":"https://openalex.org/W2168671440","doi":"https://doi.org/10.1145/2461466.2461493","title":"Heterogeneous features and model selection for event-based media classification","display_name":"Heterogeneous features and model selection for event-based media classification","publication_year":2013,"publication_date":"2013-04-16","ids":{"openalex":"https://openalex.org/W2168671440","doi":"https://doi.org/10.1145/2461466.2461493","mag":"2168671440"},"language":"en","primary_location":{"id":"doi:10.1145/2461466.2461493","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461466.2461493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM conference on International conference on multimedia retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101993173","display_name":"Xueliang Liu","orcid":"https://orcid.org/0000-0003-0077-9715"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xueliang Liu","raw_affiliation_strings":["EURECOM, sophia-antipolis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM, sophia-antipolis, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038148603","display_name":"Beno\u00eet Huet","orcid":"https://orcid.org/0000-0002-0608-6939"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benoit Huet","raw_affiliation_strings":["EURECOM, sophia-antipolis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM, sophia-antipolis, France","institution_ids":["https://openalex.org/I1902872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1902872"],"apc_list":null,"apc_paid":null,"fwci":4.1574,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95884069,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9962000250816345,"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":0.9962000250816345,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9948999881744385,"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/T11309","display_name":"Music and Audio Processing","score":0.9923999905586243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8046223521232605},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7506621479988098},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7021567821502686},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6750351190567017},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.556738018989563},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5330784320831299},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5079007744789124},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45993971824645996},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4496137499809265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4451114237308502},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39286375045776367},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3809136748313904},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3763650059700012},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.29269084334373474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8046223521232605},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7506621479988098},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7021567821502686},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6750351190567017},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.556738018989563},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5330784320831299},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5079007744789124},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45993971824645996},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4496137499809265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4451114237308502},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39286375045776367},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3809136748313904},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3763650059700012},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.29269084334373474},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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:10.1145/2461466.2461493","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2461466.2461493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM conference on International conference on multimedia retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:fr.eurecom:3959","is_oa":false,"landing_page_url":"http://www.eurecom.fr/publication/3959","pdf_url":null,"source":{"id":"https://openalex.org/S4377196942","display_name":"Graduate School and Research Center in Digital Science (EURECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1902872","host_organization_name":"EURECOM","host_organization_lineage":["https://openalex.org/I1902872"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICMR 2013, ACM International Conference on Multimedia Retrieval, April 16-20, 2013, Dallas, Texas, USA","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W11244355","https://openalex.org/W46659105","https://openalex.org/W96282607","https://openalex.org/W1532325895","https://openalex.org/W1594031697","https://openalex.org/W1965025975","https://openalex.org/W1973926914","https://openalex.org/W1979572481","https://openalex.org/W1995613787","https://openalex.org/W2007972815","https://openalex.org/W2018725815","https://openalex.org/W2019288369","https://openalex.org/W2038772173","https://openalex.org/W2061201347","https://openalex.org/W2084979067","https://openalex.org/W2103163130","https://openalex.org/W2105506044","https://openalex.org/W2117100923","https://openalex.org/W2118978333","https://openalex.org/W2124499489","https://openalex.org/W2129018774","https://openalex.org/W2131208859","https://openalex.org/W2141917706","https://openalex.org/W2145793004","https://openalex.org/W2153635508","https://openalex.org/W2158698691","https://openalex.org/W2911964244","https://openalex.org/W6603910166","https://openalex.org/W6631834165","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2095118173","https://openalex.org/W2382021449","https://openalex.org/W2104269053","https://openalex.org/W2106424170","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"With":[0],"the":[1,18,32,47,82,102,109,147,164,176,182,191,200,203],"rapid":[2],"development":[3],"of":[4,10,46,60,104,161,202],"social":[5,99,127],"media":[6,26,73,100,128,137],"sites,":[7],"a":[8,35,158],"lot":[9],"user":[11],"generated":[12],"content":[13],"is":[14,44],"being":[15],"shared":[16],"in":[17,40,67,126],"Web,":[19],"leading":[20],"to":[21,53,96,117,145,188],"new":[22],"challenges":[23],"for":[24,51,107],"traditional":[25],"retrieval":[27],"techniques.":[28],"An":[29],"event":[30,62,97,148],"describes":[31],"happening":[33],"at":[34],"specific":[36],"time":[37],"and":[38,42,113,115,121,171],"place":[39],"real-world,":[41],"it":[43,64],"one":[45],"most":[48],"important":[49],"cues":[50],"people":[52],"recall":[54],"past":[55],"memories.":[56],"The":[57],"reminder":[58],"value":[59,178],"an":[61,135,185],"makes":[63],"extremely":[65],"helpful":[66],"organizing":[68,72],"human":[69],"life.":[70],"Thus,":[71],"by":[74,180],"events":[75,112],"has":[76],"recently":[77],"drawn":[78],"much":[79],"attention":[80],"within":[81,134],"multimedia":[83],"research":[84],"community.":[85],"In":[86],"this":[87],"paper,":[88],"we":[89],"focus":[90],"on":[91,150,157],"two":[92],"fundamental":[93],"problems":[94],"related":[95],"based":[98],"analysis:":[101],"study":[103],"feature":[105,183],"importance":[106],"modeling":[108],"relation":[110],"between":[111],"media,":[114],"how":[116],"deal":[118],"with":[119,184],"missing":[120,177],"erroneous":[122],"metadata":[123],"often":[124],"present":[125],"data.":[129],"These":[130],"issues":[131],"are":[132,143,168,193,197],"studied":[133],"event-based":[136],"classification":[138],"framework.":[139],"Different":[140],"learning":[141],"approaches":[142],"employed":[144],"train":[146],"models":[149],"different":[151],"features.":[152],"We":[153,174],"find,":[154],"through":[155],"experiments":[156],"large":[159],"set":[160],"events,":[162],"that":[163],"best":[165],"discriminant":[166],"features":[167],"tags,":[169],"spatial":[170],"temporal":[172],"feature.":[173],"address":[175],"problem":[179],"extending":[181],"extra":[186],"attribute":[187],"indicate":[189],"if":[190],"values":[192],"missing.":[194],"Promising":[195],"results":[196],"achieved":[198],"demonstrating":[199],"effectiveness":[201],"proposed":[204],"method.":[205]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}