{"id":"https://openalex.org/W1744667165","doi":"https://doi.org/10.1109/icme.2005.1521443","title":"Clustering of Video Objects by Graph Matching","display_name":"Clustering of Video Objects by Graph Matching","publication_year":2005,"publication_date":"2005-10-24","ids":{"openalex":"https://openalex.org/W1744667165","doi":"https://doi.org/10.1109/icme.2005.1521443","mag":"1744667165"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2005.1521443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","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/A5101970322","display_name":"Jeongkyu Lee","orcid":"https://orcid.org/0000-0003-1954-4502"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"JeongKyu Lee","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Texas, Arlington, Arlington, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Texas, Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079889465","display_name":"Junghwan Oh","orcid":"https://orcid.org/0000-0002-5837-0958"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"JungHwan Oh","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Texas, Arlington, Arlington, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Texas, Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110162606","display_name":"Sae Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sae Hwang","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Texas, Arlington, Arlington, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Texas, Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":1.5397,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83467851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"394","last_page":"397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996999979019165,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996999979019165,"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/T11439","display_name":"Video Analysis and Summarization","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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.760556161403656},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6422935724258423},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5941872596740723},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5132608413696289},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5099769830703735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45861294865608215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3907593786716461},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24149534106254578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760556161403656},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6422935724258423},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5941872596740723},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5132608413696289},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5099769830703735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45861294865608215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3907593786716461},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24149534106254578},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2005.1521443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.572.6048","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.572.6048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www1bpt.bridgeport.edu/~jelee/pubs/icme05.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1554807050","https://openalex.org/W1889370178","https://openalex.org/W2005960867","https://openalex.org/W2012459404","https://openalex.org/W2082403159","https://openalex.org/W2120225187","https://openalex.org/W2138562085","https://openalex.org/W3145004255","https://openalex.org/W6639369233","https://openalex.org/W6680659064"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,56,86,102],"new":[3,103],"graph-based":[4],"data":[5],"structure,":[6],"called":[7,66,106],"Spatio":[8],"Temporal":[9],"Region":[10],"Graph":[11,108],"(STRG)":[12],"which":[13,24,70,89,112],"can":[14,113],"represent":[15,71],"the":[16,30,35,46,72,115,143,148],"content":[17],"of":[18,33,75,118,147],"video":[19,47,58,76,137],"sequence.":[20],"Unlike":[21],"existing":[22],"ones":[23],"consider":[25],"mainly":[26],"spatial":[27],"information":[28,44],"in":[29,45,88],"frame":[31],"level":[32,48],"video,":[34],"proposed":[36,149],"STRG":[37,52],"is":[38,53,61],"able":[39],"to":[40,92],"formulate":[41],"its":[42,64],"temporal":[43,73,116],"additionally.":[49],"After":[50],"an":[51],"constructed":[54],"from":[55],"given":[57],"sequence,":[59],"it":[60],"decomposed":[62],"into":[63,85],"subgraphs":[65],"Object":[67],"Graphs":[68],"(OGs),":[69],"characteristics":[74,117],"objects.":[77],"For":[78,96,120],"unsupervised":[79],"learning,":[80],"we":[81,90,100,123],"cluster":[82],"similar":[83],"OGs":[84],"group,":[87],"need":[91],"match":[93],"two":[94],"OGs.":[95,119],"this":[97],"graph":[98],"matching,":[99],"introduce":[101],"distance":[104],"measure,":[105],"Extended":[107],"Edit":[109],"Distance":[110],"(EGED),":[111],"handle":[114],"actual":[121],"clustering,":[122],"exploit":[124],"Expectation":[125],"Maximization":[126],"(EM)":[127],"with":[128],"EGED.":[129],"The":[130],"experiments":[131],"have":[132],"been":[133],"conducted":[134],"on":[135],"real":[136],"streams,":[138],"and":[139,145],"their":[140],"results":[141],"show":[142],"effectiveness":[144],"robustness":[146],"schemes.":[150]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
