{"id":"https://openalex.org/W1965688640","doi":"https://doi.org/10.1109/icip.2010.5654046","title":"Reducing graphs in graph cut segmentation","display_name":"Reducing graphs in graph cut segmentation","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W1965688640","doi":"https://doi.org/10.1109/icip.2010.5654046","mag":"1965688640"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5654046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5654046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5036035165","display_name":"Nicolas Lerm\u00e9","orcid":"https://orcid.org/0000-0001-9218-7965"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210102686","display_name":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","ror":"https://ror.org/018nzqy79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210102686","https://openalex.org/I4210141950","https://openalex.org/I48825208"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Lerme","raw_affiliation_strings":["LAGA UMR CNRS 7539, LIPN UMR CNRS 7030, Universit\u00e9 Paris 1, Villetaneuse, France","LIPN UMR CNRS, Universit\u00e9 Paris 13 -Avenue J.B. Cl\u00e9ment, Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LAGA UMR CNRS 7539, LIPN UMR CNRS 7030, Universit\u00e9 Paris 1, Villetaneuse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210102686","https://openalex.org/I4210156583","https://openalex.org/I51101395"]},{"raw_affiliation_string":"LIPN UMR CNRS, Universit\u00e9 Paris 13 -Avenue J.B. Cl\u00e9ment, Villetaneuse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016303776","display_name":"Fran\u00e7ois Malgouyres","orcid":"https://orcid.org/0000-0002-1213-858X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210102686","display_name":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","ror":"https://ror.org/018nzqy79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210102686","https://openalex.org/I4210141950","https://openalex.org/I48825208"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Malgouyres","raw_affiliation_strings":["LAGA UMR CNRS 7539, Universit\u00e9 Paris 1, Villetaneuse, France","LAGA UMR CNRS, Universit\u00e9 Paris 13 -Avenue J.B. Cl\u00e9ment, Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LAGA UMR CNRS 7539, Universit\u00e9 Paris 1, Villetaneuse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210102686","https://openalex.org/I51101395"]},{"raw_affiliation_string":"LAGA UMR CNRS, Universit\u00e9 Paris 13 -Avenue J.B. Cl\u00e9ment, Villetaneuse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210102686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107342200","display_name":"Lucas L\u00e9tocart","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lucas Letocart","raw_affiliation_strings":["LIPN UMR CNRS 7030, Universit\u00e9 Paris 1, Villetaneuse, France","LIPN UMR CNRS, Universit\u00e9 Paris 13 -Avenue J.B. Cl\u00e9ment, Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIPN UMR CNRS 7030, Universit\u00e9 Paris 1, Villetaneuse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I51101395"]},{"raw_affiliation_string":"LIPN UMR CNRS, Universit\u00e9 Paris 13 -Avenue J.B. Cl\u00e9ment, Villetaneuse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6317,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8484067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3045","last_page":"3048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10052","display_name":"Medical Image Segmentation 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"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6755257248878479},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6062471270561218},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5685283541679382},{"id":"https://openalex.org/keywords/minimum-cut","display_name":"Minimum cut","score":0.5123475790023804},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5025835037231445},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4865835905075073},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4605810344219208},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4494738280773163},{"id":"https://openalex.org/keywords/maximum-cut","display_name":"Maximum cut","score":0.4220302700996399},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41855812072753906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20861628651618958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6755257248878479},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6062471270561218},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5685283541679382},{"id":"https://openalex.org/C185690422","wikidata":"https://www.wikidata.org/wiki/Q6865438","display_name":"Minimum cut","level":2,"score":0.5123475790023804},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5025835037231445},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4865835905075073},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4605810344219208},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4494738280773163},{"id":"https://openalex.org/C165526019","wikidata":"https://www.wikidata.org/wiki/Q942557","display_name":"Maximum cut","level":3,"score":0.4220302700996399},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41855812072753906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20861628651618958},{"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/icip.2010.5654046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5654046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W79315950","https://openalex.org/W155592068","https://openalex.org/W1828985765","https://openalex.org/W1987869189","https://openalex.org/W2101309634","https://openalex.org/W2113137767","https://openalex.org/W2134436132","https://openalex.org/W2163844413","https://openalex.org/W2169499040","https://openalex.org/W2169551590","https://openalex.org/W2294819727","https://openalex.org/W6672505456"],"related_works":["https://openalex.org/W2141353198","https://openalex.org/W2186707160","https://openalex.org/W1974018476","https://openalex.org/W2903538031","https://openalex.org/W2129497110","https://openalex.org/W2115772827","https://openalex.org/W2942946217","https://openalex.org/W2078695342","https://openalex.org/W1588356204","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0,50,69],"few":[1],"years,":[2],"graph":[3,21,109],"cuts":[4,22],"have":[5,57],"become":[6],"a":[7,12,74,89,114,199],"leading":[8],"method":[9],"for":[10,77],"solving":[11],"wide":[13],"range":[14],"of":[15,26,38,84,106,139,191],"problems":[16],"in":[17,34,113],"computer":[18],"vision.":[19],"However,":[20],"involve":[23],"the":[24,39,51,82,85,95,101,107,118,125,131,134,140,162,166,172,180,184,189,192,195],"construction":[25],"huge":[27],"graphs":[28,127,148],"which":[29],"sometimes":[30,202],"do":[31],"not":[32,154],"fit":[33],"memory.":[35],"Currently,":[36],"most":[37],"max-flow":[40,102],"algorithms":[41],"are":[42,110,128],"impracticable":[43],"to":[44,64,100,130,145,178],"solve":[45],"such":[46],"large":[47],"scale":[48,208],"problems.":[49,209],"image":[52],"segmentation":[53],"context,":[54],"some":[55],"authors":[56],"proposed":[58],"heuristics":[59],"[1,":[60],"2,":[61],"3,":[62],"4]":[63],"get":[65],"round":[66],"this":[67,70],"problem.":[68],"paper,":[71],"we":[72,92,201],"introduce":[73],"new":[75,90],"strategy":[76],"reducing":[78],"exactly":[79],"graphs.":[80,136],"During":[81],"creation":[83],"graph,":[86],"before":[87],"creating":[88],"node,":[91],"test":[93,157,167],"if":[94],"node":[96],"is":[97,153,158,168],"really":[98],"useful":[99],"computation.":[103],"The":[104,156],"nodes":[105,182],"reduced":[108,126],"typically":[111],"located":[112],"narrow":[115],"band":[116],"surrounding":[117],"object":[119],"edges.":[120],"Empirically,":[121],"solutions":[122,132],"obtained":[123],"on":[124,133,194,206],"identical":[129],"complete":[135],"A":[137],"parameter":[138],"algorithm":[141],"can":[142],"be":[143,176],"tuned":[144],"obtain":[146],"smaller":[147],"when":[149],"an":[150],"exact":[151],"solution":[152],"needed.":[155],"quickly":[159],"computed":[160],"and":[161,183],"time":[163,173,186,205],"required":[164,187],"by":[165,171,188],"often":[169],"compensated":[170],"that":[174],"would":[175],"needed":[177],"create":[179],"removed":[181],"additional":[185],"computation":[190],"cut":[193],"larger":[196],"graph.":[197],"As":[198],"consequence,":[200],"even":[203],"save":[204],"small":[207]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}