{"id":"https://openalex.org/W1983916008","doi":"https://doi.org/10.1007/s13173-011-0036-4","title":"Identification of video subsequence using bipartite graph matching","display_name":"Identification of video subsequence using bipartite graph matching","publication_year":2011,"publication_date":"2011-09-06","ids":{"openalex":"https://openalex.org/W1983916008","doi":"https://doi.org/10.1007/s13173-011-0036-4","mag":"1983916008"},"language":"en","primary_location":{"id":"doi:10.1007/s13173-011-0036-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13173-011-0036-4","pdf_url":"https://journal-bcs.springeropen.com/track/pdf/10.1007/s13173-011-0036-4","source":{"id":"https://openalex.org/S69801987","display_name":"Journal of the Brazilian Computer Society","issn_l":"0104-6500","issn":["0104-6500","1678-4804"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Brazilian Computer Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal-bcs.springeropen.com/track/pdf/10.1007/s13173-011-0036-4","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070629635","display_name":"Silvio Jamil F. Guimar\u00e3es","orcid":"https://orcid.org/0000-0001-8522-2056"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Silvio Jamil Ferzoli Guimar\u00e3es","raw_affiliation_strings":["Department of Computer Science, Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais, Rua Walter Ianni, 255, 31980-110, S\u00e3o Gabriel Belo Horizonte, Brazil","Pontif\u00edcia Universidade cat\u00f3lica de Minas Gerais"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais, Rua Walter Ianni, 255, 31980-110, S\u00e3o Gabriel Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I170935008"]},{"raw_affiliation_string":"Pontif\u00edcia Universidade cat\u00f3lica de Minas Gerais","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035002611","display_name":"Zenilton K. G. Patroc\u00ednio","orcid":"https://orcid.org/0000-0003-0804-1790"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Zenilton Kleber Gon\u00e7alves do Patroc\u00ednio","raw_affiliation_strings":["Department of Computer Science, Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais, Rua Walter Ianni, 255, 31980-110, S\u00e3o Gabriel Belo Horizonte, Brazil","Pontif\u00edcia Universidade cat\u00f3lica de Minas Gerais"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais, Rua Walter Ianni, 255, 31980-110, S\u00e3o Gabriel Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I170935008"]},{"raw_affiliation_string":"Pontif\u00edcia Universidade cat\u00f3lica de Minas Gerais","institution_ids":["https://openalex.org/I170935008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070629635"],"corresponding_institution_ids":["https://openalex.org/I170935008"],"apc_list":null,"apc_paid":null,"fwci":0.2616,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55575725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"17","issue":"3","first_page":"175","last_page":"192"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9975000023841858,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9944999814033508,"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/subsequence","display_name":"Subsequence","score":0.8219376802444458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7541577816009521},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6988605856895447},{"id":"https://openalex.org/keywords/longest-common-subsequence-problem","display_name":"Longest common subsequence problem","score":0.6760250926017761},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.6755194067955017},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6353289484977722},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5447658896446228},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5195263028144836},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4677902162075043},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4250255227088928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4021236002445221},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3622969388961792},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30577385425567627},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2843230962753296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1703464686870575}],"concepts":[{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.8219376802444458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541577816009521},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6988605856895447},{"id":"https://openalex.org/C120098539","wikidata":"https://www.wikidata.org/wiki/Q141001","display_name":"Longest common subsequence problem","level":2,"score":0.6760250926017761},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.6755194067955017},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6353289484977722},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5447658896446228},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5195263028144836},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4677902162075043},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4250255227088928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4021236002445221},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3622969388961792},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30577385425567627},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2843230962753296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1703464686870575},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13173-011-0036-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13173-011-0036-4","pdf_url":"https://journal-bcs.springeropen.com/track/pdf/10.1007/s13173-011-0036-4","source":{"id":"https://openalex.org/S69801987","display_name":"Journal of the Brazilian Computer Society","issn_l":"0104-6500","issn":["0104-6500","1678-4804"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Brazilian Computer Society","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s13173-011-0036-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13173-011-0036-4","pdf_url":"https://journal-bcs.springeropen.com/track/pdf/10.1007/s13173-011-0036-4","source":{"id":"https://openalex.org/S69801987","display_name":"Journal of the Brazilian Computer Society","issn_l":"0104-6500","issn":["0104-6500","1678-4804"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Brazilian Computer Society","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316054","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322980","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","ror":"https://ror.org/00nc55f03"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1983916008.pdf","grobid_xml":"https://content.openalex.org/works/W1983916008.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W256534578","https://openalex.org/W1520225145","https://openalex.org/W1570952358","https://openalex.org/W1574979077","https://openalex.org/W1592458933","https://openalex.org/W1976526581","https://openalex.org/W1986106281","https://openalex.org/W2001496424","https://openalex.org/W2005414534","https://openalex.org/W2005797502","https://openalex.org/W2015168936","https://openalex.org/W2018578825","https://openalex.org/W2034107451","https://openalex.org/W2045029957","https://openalex.org/W2053913299","https://openalex.org/W2062885556","https://openalex.org/W2082635193","https://openalex.org/W2099614383","https://openalex.org/W2110963300","https://openalex.org/W2113276649","https://openalex.org/W2114456882","https://openalex.org/W2116955522","https://openalex.org/W2145196253","https://openalex.org/W2149723790","https://openalex.org/W2150134121","https://openalex.org/W2154748549","https://openalex.org/W2157073091","https://openalex.org/W2160850174","https://openalex.org/W3150104222","https://openalex.org/W4255512465"],"related_works":["https://openalex.org/W25732909","https://openalex.org/W4323338832","https://openalex.org/W4289596129","https://openalex.org/W3083981518","https://openalex.org/W4225868058","https://openalex.org/W1999879627","https://openalex.org/W2088055539","https://openalex.org/W1574834681","https://openalex.org/W2389167168","https://openalex.org/W1746697883"],"abstract_inverted_index":{"Abstract":[0],"Subsequence":[1],"identification":[2,84],"consists":[3],"of":[4,8,68,74,90,123],"identifying":[5],"real":[6],"positions":[7],"a":[9,14,30,42,46,56,75,91],"specific":[10],"video":[11,15,52,58],"clip":[12,53],"in":[13,101],"stream":[16,59],"together":[17],"with":[18,37,55,87,114],"the":[19,27,33,72,82,88,124],"operations":[20,98],"that":[21,94,107],"may":[22],"be":[23],"used":[24,100],"to":[25,50,80],"transform":[26],"former":[28],"into":[29],"subsequence":[31,83],"from":[32],"latter.":[34],"To":[35],"cope":[36],"this":[38],"problem,":[39],"we":[40],"propose":[41],"new":[43],"approach,":[44],"considering":[45],"bipartite":[47],"graph":[48],"matching":[49],"measure":[51],"similarity":[54],"target":[57,125],"which":[60,97],"has":[61],"not":[62],"been":[63],"preprocessed.":[64],"The":[65],"main":[66],"contributions":[67],"our":[69,108],"work":[70],"are":[71],"application":[73],"simple":[76],"and":[77],"efficient":[78],"distance":[79],"solve":[81],"problem":[85],"along":[86],"definition":[89],"hit":[92],"function":[93],"identifies":[95],"precisely":[96],"were":[99],"query":[102],"transformation.":[103],"Experimental":[104],"results":[105],"demonstrate":[106],"method":[109],"performances":[110],"achieve":[111],"90%":[112],"recall":[113],"93%":[115],"precision,":[116],"though":[117],"it":[118],"is":[119],"done":[120],"without":[121],"preprocessing":[122],"video.":[126]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
