{"id":"https://openalex.org/W2101775023","doi":"https://doi.org/10.1109/icip.2013.6738901","title":"Video event recounting using mixture subclass discriminant analysis","display_name":"Video event recounting using mixture subclass discriminant analysis","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2101775023","doi":"https://doi.org/10.1109/icip.2013.6738901","mag":"2101775023"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-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/A5055821226","display_name":"Nikolaos Gkalelis","orcid":"https://orcid.org/0000-0001-6741-3334"},"institutions":[{"id":"https://openalex.org/I107613613","display_name":"Information Technology Institute","ror":"https://ror.org/04ynw2g14","country_code":"EG","type":"facility","lineage":["https://openalex.org/I107613613"]},{"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"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["EG","GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Gkalelis","raw_affiliation_strings":["Information Technologies Institute / CERTH, Thermi 57001, Greece","Inf. Technol. Inst., CERTH, Thermi, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technologies Institute / CERTH, Thermi 57001, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]},{"raw_affiliation_string":"Inf. Technol. Inst., CERTH, Thermi, Greece","institution_ids":["https://openalex.org/I107613613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059096027","display_name":"Vasileios Mezaris","orcid":"https://orcid.org/0000-0002-0121-4364"},"institutions":[{"id":"https://openalex.org/I107613613","display_name":"Information Technology Institute","ror":"https://ror.org/04ynw2g14","country_code":"EG","type":"facility","lineage":["https://openalex.org/I107613613"]},{"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"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["EG","GR"],"is_corresponding":false,"raw_author_name":"Vasileios Mezaris","raw_affiliation_strings":["Information Technologies Institute / CERTH, Thermi 57001, Greece","Inf. Technol. Inst., CERTH, Thermi, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technologies Institute / CERTH, Thermi 57001, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]},{"raw_affiliation_string":"Inf. Technol. Inst., CERTH, Thermi, Greece","institution_ids":["https://openalex.org/I107613613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084122016","display_name":"Ioannis Kompatsiaris","orcid":"https://orcid.org/0000-0001-6447-9020"},"institutions":[{"id":"https://openalex.org/I107613613","display_name":"Information Technology Institute","ror":"https://ror.org/04ynw2g14","country_code":"EG","type":"facility","lineage":["https://openalex.org/I107613613"]},{"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"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["EG","GR"],"is_corresponding":false,"raw_author_name":"Ioannis Kompatsiaris","raw_affiliation_strings":["Information Technologies Institute / CERTH, Thermi 57001, Greece","Inf. Technol. Inst., CERTH, Thermi, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technologies Institute / CERTH, Thermi 57001, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]},{"raw_affiliation_string":"Inf. Technol. Inst., CERTH, Thermi, Greece","institution_ids":["https://openalex.org/I107613613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028031376","display_name":"Tania Stathaki","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tania Stathaki","raw_affiliation_strings":["Electrical and Electronic Engineering Dept., Imperial College London, SW7 2AZ, UK","Electr. & Electron. Eng. Dept., Imperial Coll. London, London, , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering Dept., Imperial College London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Electr. & Electron. Eng. Dept., Imperial Coll. London, London, , UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8288,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77907961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4372","last_page":"4376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9986000061035156,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9952999949455261,"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/event","display_name":"Event (particle physics)","score":0.7390701770782471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6909962296485901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6185100078582764},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.561286449432373},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5340418219566345},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.526157796382904},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.520687460899353},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.519777238368988},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4531084895133972},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4426402747631073},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4303939938545227},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4244406521320343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34450462460517883}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7390701770782471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6909962296485901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6185100078582764},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.561286449432373},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5340418219566345},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.526157796382904},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.520687460899353},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.519777238368988},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4531084895133972},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4426402747631073},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4303939938545227},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4244406521320343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34450462460517883},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2013.6738901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.834.7858","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.834.7858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.iti.gr/%7Ebmezaris/publications/icip13_1_preprint.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2018668305","https://openalex.org/W2020726365","https://openalex.org/W2034230010","https://openalex.org/W2089038536","https://openalex.org/W2108710077","https://openalex.org/W2126935901","https://openalex.org/W2137170986","https://openalex.org/W2141355815","https://openalex.org/W2145901830","https://openalex.org/W2155490028","https://openalex.org/W2156970288","https://openalex.org/W2162762921","https://openalex.org/W2171469056","https://openalex.org/W2171972080","https://openalex.org/W2181800684","https://openalex.org/W2183460364","https://openalex.org/W2184801855","https://openalex.org/W2917553248","https://openalex.org/W6685968781","https://openalex.org/W6759667726"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W4241330371","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167"],"abstract_inverted_index":{"In":[0,34],"this":[1,138],"paper,":[2],"a":[3,13,31,36,47,76,111,166],"new":[4],"feature":[5,78],"selection":[6,79],"method":[7,80,89,116],"is":[8,42,70,81,90,140],"used,":[9],"in":[10,19,30,72,142,146,156],"combination":[11],"with":[12,136],"semantic":[14,25,39],"model":[15,48,59],"vector":[16,49,60],"video":[17,32,52,167,177],"representation,":[18],"order":[20,147],"to":[21,148],"enumerate":[22],"the":[23,58,62,67,73,94,100,104,114,119,125,128,132,143,153,159,172,175],"key":[24],"evidences":[26],"of":[27,38,57,64,86,103,121,127,134,158,169,174],"an":[28],"event":[29,85,130,178],"signal.":[33],"particular,":[35],"set":[37],"concept":[40,69,123,139],"detectors":[41],"firstly":[43],"used":[44],"for":[45,50,83,124],"estimating":[46],"each":[51,55,84,122],"signal,":[53],"where":[54],"element":[56],"denotes":[61],"degree":[63,133],"confidence":[65,135],"that":[66],"respective":[68],"depicted":[71],"video.":[74],"Then,":[75],"novel":[77],"learned":[82],"interest.":[87],"This":[88],"based":[91],"on":[92],"exploiting":[93],"first":[95],"two":[96],"eigenvectors":[97],"derived":[98],"using":[99,165],"eigenvalue":[101],"formulation":[102],"mixture":[105],"subclass":[106],"discriminant":[107],"analysis.":[108],"Subsequently,":[109],"given":[110,129,144],"video-event":[112,161],"pair,":[113],"proposed":[115,176],"jointly":[117],"evaluates":[118],"significance":[120],"detection":[126],"and":[131],"which":[137,150],"detected":[141],"video,":[145],"decide":[149],"concepts":[151],"provide":[152],"strongest":[154],"evidence":[155],"support":[157],"provided":[160],"link.":[162],"Experimental":[163],"results":[164],"collection":[168],"TRECVID":[170],"demonstrate":[171],"effectiveness":[173],"recounting":[179],"method.":[180]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
