{"id":"https://openalex.org/W2097537693","doi":"https://doi.org/10.1109/icme.2003.1220951","title":"Detecting cartoons: a case study in automatic video-genre classification","display_name":"Detecting cartoons: a case study in automatic video-genre classification","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2097537693","doi":"https://doi.org/10.1109/icme.2003.1220951","mag":"2097537693"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2003.1220951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1220951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ir.cwi.nl/pub/10407/10407B.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020040938","display_name":"T. Ianeva","orcid":null},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"T.I. Ianeva","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidad de Valencia, Valencia, Spain","Dept. de Informatica, Valencia Univ., Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidad de Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I16097986"]},{"raw_affiliation_string":"Dept. de Informatica, Valencia Univ., Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060259737","display_name":"Arjen P. de Vries","orcid":"https://orcid.org/0000-0002-2888-4202"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832","https://openalex.org/I4405262988"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"A.P. de Vries","raw_affiliation_strings":["Centrum voor Wiskunde en Informatica, Amsterdam, Netherlands","Centrum Wiskunde and Informatica (CWI)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centrum voor Wiskunde en Informatica, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1341640284"]},{"raw_affiliation_string":"Centrum Wiskunde and Informatica (CWI)","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034932874","display_name":"Hein R\u00f6hrig","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832","https://openalex.org/I4405262988"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"H. Rohrig","raw_affiliation_strings":["Centrum voor Wiskunde en Informatica, Amsterdam, Netherlands","Pervasive Media Manage. Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centrum voor Wiskunde en Informatica, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1341640284"]},{"raw_affiliation_string":"Pervasive Media Manage. Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9990000128746033,"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":0.9990000128746033,"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/T11309","display_name":"Music and Audio Processing","score":0.9976999759674072,"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"}},{"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":0.7938941717147827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.640765368938446},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6146522164344788},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5697974562644958},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5567250847816467},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48481670022010803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48309922218322754},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4662657380104065},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.464194655418396},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46261292695999146},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44716984033584595},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4337252080440521},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40495893359184265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7938941717147827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.640765368938446},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6146522164344788},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5697974562644958},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5567250847816467},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48481670022010803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48309922218322754},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4662657380104065},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.464194655418396},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46261292695999146},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44716984033584595},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4337252080440521},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40495893359184265},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icme.2003.1220951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1220951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","raw_type":"proceedings-article"},{"id":"pmh:oai:cwi.nl:10407","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/10407","pdf_url":"https://ir.cwi.nl/pub/10407/10407B.pdf","source":{"id":"https://openalex.org/S7407055335","display_name":"Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.115.9875","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.9875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.uv.es/~tzveta/invwork.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.124.3152","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.3152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cwi.nl/~arjen/pub/icme03.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:cwi.nl:10407","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/10407","pdf_url":"https://ir.cwi.nl/pub/10407/10407B.pdf","source":{"id":"https://openalex.org/S7407055335","display_name":"Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2097537693.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W20965513","https://openalex.org/W1494192243","https://openalex.org/W1516555811","https://openalex.org/W1541303806","https://openalex.org/W1560724230","https://openalex.org/W1561442812","https://openalex.org/W1638203394","https://openalex.org/W2099928889","https://openalex.org/W2105740906","https://openalex.org/W2118516596","https://openalex.org/W2125055259","https://openalex.org/W2132934990","https://openalex.org/W2135322151","https://openalex.org/W2150625547","https://openalex.org/W2161856360","https://openalex.org/W2171930348","https://openalex.org/W2846936617","https://openalex.org/W2917578068","https://openalex.org/W3195149063","https://openalex.org/W4230960895","https://openalex.org/W4231807303","https://openalex.org/W6629329885","https://openalex.org/W6632510804","https://openalex.org/W6663186920","https://openalex.org/W6675605013","https://openalex.org/W6979739015"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W2565656575","https://openalex.org/W4390143830"],"abstract_inverted_index":{"This":[0],"paper":[1,136],"presents":[2],"a":[3,13,16,118,130],"new":[4],"approach":[5],"for":[6,111],"classifying":[7],"individual":[8],"video":[9,28,126],"frames":[10],"as":[11,148,161],"being":[12],"'cartoon'":[14],"or":[15,163],"'photographic":[17],"image'.":[18],"The":[19,135,151],"task":[20],"arose":[21],"from":[22,87,123],"experiments":[23],"performed":[24],"at":[25,35],"the":[26,40,49,79,91,94,104,107,124,138,143],"TREC-2002":[27,125],"retrieval":[29],"benchmark:":[30],"'cartoons'":[31],"are":[32],"returned":[33],"unexpectedly":[34],"high":[36],"ranks":[37],"even":[38],"if":[39],"query":[41],"gave":[42],"only":[43],"'photographic'":[44],"image":[45,64,95],"examples.":[46],"Distinguishing":[47],"between":[48],"two":[50],"genres":[51],"has":[52],"proved":[53],"difficult":[54],"because":[55],"of":[56,82,93,106,121,132,145],"their":[57],"large":[58,119],"intra-class":[59],"variation.":[60],"In":[61],"addition":[62],"to":[63],"metrics":[65,74],"used":[66,147],"in":[67],"prior":[68],"cartoon-classification":[69],"work,":[70],"we":[71],"introduce":[72],"novel":[73],"like":[75],"ones":[76],"based":[77],"on":[78,117],"pattern":[80],"spectrum":[81],"parabolic":[83,88],"size":[84],"distributions":[85],"derived":[86],"granulometries":[89],"and":[90,129,165],"complexity":[92],"signal":[96],"approximated":[97],"by":[98],"its":[99,166],"compression":[100],"ratio.":[101],"We":[102],"evaluate":[103],"effectiveness":[105],"proposed":[108],"feature":[109],"set":[110,120,131],"classification":[112],"(using":[113],"support":[114],"vector":[115],"machines)":[116],"keyframes":[122],"track":[127],"collection":[128],"Web":[133,159],"images.":[134],"reports":[137],"identification":[139],"error":[140],"rates":[141],"against":[142],"number":[144],"images":[146,160],"training":[149],"set.":[150],"system":[152],"is":[153,169],"compared":[154],"with":[155],"one":[156],"that":[157],"classifies":[158],"photographs":[162],"graphics":[164],"superior":[167],"performance":[168],"evident.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
