{"id":"https://openalex.org/W2064033953","doi":"https://doi.org/10.1145/1631024.1631029","title":"Query-based video event definition using rough set theory","display_name":"Query-based video event definition using rough set theory","publication_year":2009,"publication_date":"2009-10-23","ids":{"openalex":"https://openalex.org/W2064033953","doi":"https://doi.org/10.1145/1631024.1631029","mag":"2064033953"},"language":"en","primary_location":{"id":"doi:10.1145/1631024.1631029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631024.1631029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM international workshop on Events in multimedia","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/A5013527575","display_name":"Kimiaki Shirahama","orcid":"https://orcid.org/0000-0003-1843-5152"},"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":"Kimiaki Shirahama","raw_affiliation_strings":["Graduate School of Economics, Kobe University, 2-1, Rokkodai, Nada, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Economics, Kobe University, 2-1, Rokkodai, Nada, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052332732","display_name":"Chieri Sugihara","orcid":null},"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":"Chieri Sugihara","raw_affiliation_strings":["Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan","Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan#TAB#","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108235269","display_name":"Yuta Matsuoka","orcid":null},"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":"Yuta Matsuoka","raw_affiliation_strings":["Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan","Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan#TAB#","institution_ids":["https://openalex.org/I65837984"]}]},{"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 Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan","Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, Japan#TAB#","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9993000030517578,"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":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9970999956130981,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.808760404586792},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7800474166870117},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6487254500389099},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6087285280227661},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.58873051404953},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5273932814598083},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4948999285697937},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44057998061180115},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4404638707637787},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.423892080783844},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4144384562969208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.406911700963974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.808760404586792},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7800474166870117},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6487254500389099},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6087285280227661},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.58873051404953},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5273932814598083},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4948999285697937},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44057998061180115},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4404638707637787},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.423892080783844},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4144384562969208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.406911700963974},{"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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1631024.1631029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1631024.1631029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM international workshop on Events in multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1510192517","https://openalex.org/W1586066135","https://openalex.org/W1917380066","https://openalex.org/W1992419399","https://openalex.org/W1994974007","https://openalex.org/W2062903088","https://openalex.org/W2076593148","https://openalex.org/W2089150756","https://openalex.org/W2094753663","https://openalex.org/W2107255621","https://openalex.org/W2110962145","https://openalex.org/W2112510289","https://openalex.org/W2123778039","https://openalex.org/W2124386111","https://openalex.org/W2129193626","https://openalex.org/W2133461229","https://openalex.org/W2162915993","https://openalex.org/W2166428396","https://openalex.org/W4206300474"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2382278777","https://openalex.org/W2107349454","https://openalex.org/W2353240132","https://openalex.org/W1964260090","https://openalex.org/W2375932290","https://openalex.org/W1486178390","https://openalex.org/W138553499","https://openalex.org/W2167403502","https://openalex.org/W1964755555"],"abstract_inverted_index":{"Since":[0],"events":[1,15],"queried":[2],"by":[3,35,132],"a":[4,10,43,51,90],"user":[5],"range":[6],"much":[7],"widely,":[8],"indexing":[9],"video":[11,65,164,177],"archive":[12,165,178],"with":[13],"pre-defined":[14],"is":[16,22,29,166],"impractical.":[17],"Hence,":[18],"\"query-based":[19],"event":[20,28,46,72,108],"definition\"":[21],"an":[23,27,107],"essential":[24],"technique":[25],"where":[26,123],"defined":[30],"from":[31,154],"example":[32,103,113],"videos":[33],"provided":[34],"the":[36,58,70,163,180,187],"user.":[37],"In":[38,140],"this":[39,141],"paper,":[40],"we":[41,79,97,118,149],"introduce":[42],"novel":[44],"query-based":[45],"definition":[47],"method":[48,184],"to":[49,63,102,106,143,185],"cover":[50],"large":[52],"variation":[53],"of":[54,69,136,182,190],"low-level":[55,76,138,152],"features":[56,153],"in":[57,86,89],"same":[59,71],"event.":[60,192],"Specifically,":[61],"due":[62],"arbitrary":[64],"production":[66],"techniques,":[67],"shots":[68,83,104,114],"contain":[73],"significantly":[74],"different":[75,87,121],"features.":[77,139],"Thus,":[78],"assume":[80],"that":[81],"these":[82],"are":[84],"distributed":[85],"subsets":[88,122],"feature":[91],"space.":[92],"To":[93],"extract":[94,120],"such":[95],"subsets,":[96],"apply":[98],"\"rough":[99],"set":[100],"theory\"":[101],"relevant":[105],"(positive":[109],"examples)":[110],"and":[111],"irrelevant":[112],"(negative":[115],"examples).":[116],"Thereby,":[117],"can":[119,128],"positive":[124],"or":[125],"negative":[126],"examples":[127],"be":[129],"correctly":[130],"classified":[131],"\"decision":[133],"rules\"":[134],"consisting":[135],"specific":[137],"process,":[142],"avoid":[144],"extracting":[145],"over-specialized":[146],"decision":[147,170],"rules,":[148],"distinguish":[150],"important":[151],"unimportant":[155],"ones":[156],"using":[157],"\"Multiple":[158],"Correspondence":[159],"Analysis":[160],"(MCA)\".":[161],"Finally,":[162],"searched":[167],"based":[168],"on":[169,174],"rules.":[171],"Experimental":[172],"results":[173],"TRECVID":[175],"2008":[176],"show":[179],"possibility":[181],"our":[183],"achieve":[186],"wide":[188],"coverage":[189],"each":[191]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}