{"id":"https://openalex.org/W2142645381","doi":"https://doi.org/10.1109/cvpr.2003.1211455","title":"Evolvable visual commercial detector","display_name":"Evolvable visual commercial detector","publication_year":2003,"publication_date":"2003-11-20","ids":{"openalex":"https://openalex.org/W2142645381","doi":"https://doi.org/10.1109/cvpr.2003.1211455","mag":"2142645381"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2003.1211455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","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/A5070347219","display_name":"Lalitha Agnihotri","orcid":null},"institutions":[{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]},{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["FI","US"],"is_corresponding":true,"raw_author_name":"L. Agnihotri","raw_affiliation_strings":["Philips Research USA, Briarcliff Manor, NY, USA","[Philips Res.-USA, Briarcliff Manor, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Philips Research USA, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]},{"raw_affiliation_string":"[Philips Res.-USA, Briarcliff Manor, NY, USA]","institution_ids":["https://openalex.org/I1329325741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017119312","display_name":"Nevenka Dimitrova","orcid":"https://orcid.org/0000-0003-4091-9233"},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]},{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"N. Dimitrova","raw_affiliation_strings":["Philips Research USA, Briarcliff Manor, NY, USA","[Philips Res.-USA, Briarcliff Manor, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Philips Research USA, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]},{"raw_affiliation_string":"[Philips Res.-USA, Briarcliff Manor, NY, USA]","institution_ids":["https://openalex.org/I1329325741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037635590","display_name":"Thomas McGee","orcid":"https://orcid.org/0000-0001-9192-4169"},"institutions":[{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]},{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"T. McGee","raw_affiliation_strings":["Philips Research USA, Briarcliff Manor, NY, USA","[Philips Res.-USA, Briarcliff Manor, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Philips Research USA, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]},{"raw_affiliation_string":"[Philips Res.-USA, Briarcliff Manor, NY, USA]","institution_ids":["https://openalex.org/I1329325741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011392596","display_name":"S. Jeannin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]},{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"S. Jeannin","raw_affiliation_strings":["Philips Research USA, Briarcliff Manor, NY, USA","[Philips Res.-USA, Briarcliff Manor, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Philips Research USA, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]},{"raw_affiliation_string":"[Philips Res.-USA, Briarcliff Manor, NY, USA]","institution_ids":["https://openalex.org/I1329325741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042009978","display_name":"David B. Schaffer","orcid":null},"institutions":[{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]},{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"D. Schaffer","raw_affiliation_strings":["Philips Research USA, Briarcliff Manor, NY, USA","[Philips Res.-USA, Briarcliff Manor, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Philips Research USA, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]},{"raw_affiliation_string":"[Philips Res.-USA, Briarcliff Manor, NY, USA]","institution_ids":["https://openalex.org/I1329325741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088797640","display_name":"J. Nesvadba","orcid":null},"institutions":[{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]},{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"J. Nesvadba","raw_affiliation_strings":["Philips Research USA, Briarcliff Manor, NY, USA","[Philips Res.-USA, Briarcliff Manor, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Philips Research USA, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]},{"raw_affiliation_string":"[Philips Res.-USA, Briarcliff Manor, NY, USA]","institution_ids":["https://openalex.org/I1329325741"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070347219"],"corresponding_institution_ids":["https://openalex.org/I1329325741","https://openalex.org/I4210131230"],"apc_list":null,"apc_paid":null,"fwci":5.1476,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95505585,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9940999746322632,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9940999746322632,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9907000064849854,"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":0.9833999872207642,"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":0.8065580129623413},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6379436254501343},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5536785125732422},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5030249953269958},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43401262164115906},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4329025447368622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4181661605834961},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4084009528160095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3823094367980957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065580129623413},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6379436254501343},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5536785125732422},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5030249953269958},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43401262164115906},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4329025447368622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4181661605834961},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4084009528160095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3823094367980957},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2003.1211455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3024364549","https://openalex.org/W4206019083","https://openalex.org/W1976265003","https://openalex.org/W2054476758","https://openalex.org/W2370378377","https://openalex.org/W2048865712","https://openalex.org/W4210535024","https://openalex.org/W4237510188","https://openalex.org/W2130160813","https://openalex.org/W2350613701"],"abstract_inverted_index":{"Commercial":[0],"detection":[1,41,132,195,224],"plays":[2],"an":[3,62,184],"important":[4],"role":[5],"in":[6,30,116,171],"various":[7,44,107],"video":[8],"segmentation":[9,17],"and":[10,48,75,94,127,176,201,215,219],"indexing":[11],"applications.":[12],"It":[13,33],"provides":[14],"high-level":[15],"program":[16,28],"so":[18],"that":[19,51,87,109,178,209],"other":[20],"algorithms":[21,71,153],"can":[22,110,166],"be":[23,111],"applied":[24],"on":[25,89,134],"the":[26,31,56,67,106,121,125,130,141,157,180,189],"true":[27],"material":[29],"broadcast.":[32],"is":[34],"a":[35,102,135,162,172,193],"challenge":[36],"to":[37,120,139,155],"have":[38],"robust":[39],"commercial":[40,85,131,194,223],"methodology":[42],"for":[43,79,197],"platforms,":[45],"content":[46],"formats,":[47],"broadcast":[49],"styles":[50],"are":[52],"used":[53],"all":[54],"over":[55],"world.":[57],"Wide":[58],"deployment":[59],"of":[60,69,77,105,124,137,169,191,222],"such":[61],"algorithm":[63,165,196],"not":[64],"only":[65],"requires":[66],"development":[68],"new":[70],"but":[72],"also":[73],"updating":[74],"tuning":[76,221],"parameters":[78,170],"existing":[80],"algorithms.":[81,225],"We":[82,147,159,187],"present":[83,188],"visual":[84],"detectors":[86,98],"rely":[88],"features":[90,108],"including,":[91],"luminance,":[92],"letterbox,":[93],"keyframe":[95],"distance.":[96],"These":[97],"were":[99],"developed":[100],"after":[101],"careful":[103],"study":[104],"extracted":[112],"during":[113],"MPEG-encoding":[114],"process":[115],"real":[117],"time.":[118],"Due":[119],"intermittent":[122],"nature":[123],"features,":[126],"platform":[128],"restrictions,":[129],"relies":[133],"set":[136],"thresholds":[138,150],"keep":[140],"implementation":[142],"as":[143,145],"simple":[144],"possible.":[146],"evolved":[148],"these":[149],"using":[151],"genetic":[152,164],"(GAs)":[154],"optimize":[156],"performance.":[158],"show":[160,208],"how":[161],"scalar":[163],"locate":[167],"sets":[168,200],"multi-objective":[173],"space":[174],"(precision":[175],"recall)":[177],"outperform":[179],"values":[181],"selected":[182],"by":[183],"expert":[185],"engineer.":[186],"results":[190],"optimizing":[192],"different":[198],"data":[199],"parameter":[202],"sets.":[203],"In":[204],"this":[205],"paper":[206],"we":[207],"GAs":[210],"drastically":[211],"improved":[212],"our":[213],"approach":[214],"enabled":[216],"fast":[217],"prototyping":[218],"performance":[220]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
