{"id":"https://openalex.org/W2794198950","doi":"https://doi.org/10.1109/icip.2017.8297008","title":"Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation","display_name":"Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2794198950","doi":"https://doi.org/10.1109/icip.2017.8297008","mag":"2794198950"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.univ-reims.fr/hal-01719337","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060666536","display_name":"Jimmy Francky Randrianasoa","orcid":"https://orcid.org/0000-0002-2522-3521"},"institutions":[{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]},{"id":"https://openalex.org/I96226040","display_name":"Universit\u00e9 de Reims Champagne-Ardenne","ror":"https://ror.org/03hypw319","country_code":"FR","type":"education","lineage":["https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jimmy Francky Randrianasoa","raw_affiliation_strings":["CReSTIC, Universit\u00e9 de Reims Champagne-Ardenne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CReSTIC, Universit\u00e9 de Reims Champagne-Ardenne, France","institution_ids":["https://openalex.org/I4210100943","https://openalex.org/I96226040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090167453","display_name":"Camille Kurtz","orcid":"https://orcid.org/0000-0001-9254-7537"},"institutions":[{"id":"https://openalex.org/I110736937","display_name":"D\u00e9l\u00e9gation Paris 5","ror":"https://ror.org/02e0y6e06","country_code":"FR","type":"government","lineage":["https://openalex.org/I110736937","https://openalex.org/I154526488"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]},{"id":"https://openalex.org/I4403386760","display_name":"Laboratoire Informatique Paris Descartes","ror":"https://ror.org/04s80ef73","country_code":"FR","type":"facility","lineage":["https://openalex.org/I204730241","https://openalex.org/I4403386760"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Camille Kurtz","raw_affiliation_strings":["LIPADE, Universit\u00e9 Paris-Descartes (Sorbonne Paris Cit\u00e9), France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIPADE, Universit\u00e9 Paris-Descartes (Sorbonne Paris Cit\u00e9), France","institution_ids":["https://openalex.org/I110736937","https://openalex.org/I204730241","https://openalex.org/I4210091437","https://openalex.org/I4403386760"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031872978","display_name":"Pierre Gan\u00e7arski","orcid":"https://orcid.org/0000-0003-1230-6560"},"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/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Gancarski","raw_affiliation_strings":["CNRS, ICube, Universit\u00e9 de Strasbourg, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, ICube, Universit\u00e9 de Strasbourg, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I68947357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082743435","display_name":"\u00c9ric Desjardin","orcid":"https://orcid.org/0000-0001-6788-8276"},"institutions":[{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]},{"id":"https://openalex.org/I96226040","display_name":"Universit\u00e9 de Reims Champagne-Ardenne","ror":"https://ror.org/03hypw319","country_code":"FR","type":"education","lineage":["https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Desjardin","raw_affiliation_strings":["CReSTIC, Universit\u00e9 de Reims Champagne-Ardenne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CReSTIC, Universit\u00e9 de Reims Champagne-Ardenne, France","institution_ids":["https://openalex.org/I4210100943","https://openalex.org/I96226040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037096002","display_name":"Nicolas Passat","orcid":"https://orcid.org/0000-0002-0320-4581"},"institutions":[{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]},{"id":"https://openalex.org/I96226040","display_name":"Universit\u00e9 de Reims Champagne-Ardenne","ror":"https://ror.org/03hypw319","country_code":"FR","type":"education","lineage":["https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Passat","raw_affiliation_strings":["CReSTIC, Universit\u00e9 de Reims Champagne-Ardenne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CReSTIC, Universit\u00e9 de Reims Champagne-Ardenne, France","institution_ids":["https://openalex.org/I4210100943","https://openalex.org/I96226040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9478,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88073576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3874","last_page":"3878"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9951000213623047,"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/ground-truth","display_name":"Ground truth","score":0.8093810081481934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7427533268928528},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6743851900100708},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5998960733413696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5604236721992493},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5580195784568787},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5538884997367859},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5212186574935913},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5054864883422852},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.464022696018219},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.46147772669792175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42596012353897095},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.381905734539032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1850663125514984},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09203878045082092}],"concepts":[{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.8093810081481934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7427533268928528},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6743851900100708},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5998960733413696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5604236721992493},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5580195784568787},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5538884997367859},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5212186574935913},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5054864883422852},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.464022696018219},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.46147772669792175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42596012353897095},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.381905734539032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1850663125514984},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09203878045082092},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2017.8297008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01719337v1","is_oa":true,"landing_page_url":"https://hal.univ-reims.fr/hal-01719337","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Image Processing (ICIP), 2017, Beijing, China. pp.3874-3878, &#x27E8;10.1109/ICIP.2017.8297008&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01719337v1","is_oa":true,"landing_page_url":"https://hal.univ-reims.fr/hal-01719337","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Image Processing (ICIP), 2017, Beijing, China. pp.3874-3878, &#x27E8;10.1109/ICIP.2017.8297008&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6376513825","display_name":"COllaboration, CLassification, Incrementality and Knowledge","funder_award_id":"ANR-12-MONU-0001","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W59822220","https://openalex.org/W84411115","https://openalex.org/W1507689742","https://openalex.org/W1575496704","https://openalex.org/W1967866839","https://openalex.org/W1987869189","https://openalex.org/W1995766089","https://openalex.org/W2008106311","https://openalex.org/W2023939759","https://openalex.org/W2024915064","https://openalex.org/W2062476614","https://openalex.org/W2069412682","https://openalex.org/W2110475589","https://openalex.org/W2117747385","https://openalex.org/W2123402141","https://openalex.org/W2124032926","https://openalex.org/W2128356031","https://openalex.org/W2146037576","https://openalex.org/W2146842130","https://openalex.org/W2168804568","https://openalex.org/W2284084225","https://openalex.org/W2417254599","https://openalex.org/W2611775752","https://openalex.org/W2732398094","https://openalex.org/W6652571466","https://openalex.org/W6740615405"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W1544811710","https://openalex.org/W2124951708","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2039041387","https://openalex.org/W2032891171"],"abstract_inverted_index":{"The":[0],"binary":[1],"partition":[2,35],"tree":[3],"(BPT)":[4],"is":[5,185],"a":[6,17,22,31,34,42,118,126,133,149,153,179],"hierarchical":[7],"data-structure":[8],"that":[9,139],"models":[10],"the":[11,25,37,48,71,77,93,108,188],"content":[12],"of":[13,24,27,36,80,96,110,190,193],"an":[14,28,145],"image":[15,29,38],"in":[16,90,92,132,187],"multiscale":[18],"way.":[19],"In":[20,121],"particular,":[21],"cut":[23],"BPT":[26,43,129,162,191],"provides":[30],"segmentation,":[32],"as":[33],"support.":[39],"Actually,":[40],"building":[41,87],"allows":[44],"for":[45,51,86,128],"dramatically":[46],"reducing":[47],"search":[49],"space":[50],"segmentation":[52,192],"purposes,":[53],"based":[54],"on":[55,73],"intrinsic":[56],"(image":[57],"signal)":[58],"and":[59,76,152,169],"extrinsic":[60],"(construction":[61],"metric)":[62],"information.":[63],"A":[64],"large":[65],"literature":[66],"has":[67],"been":[68],"devoted":[69],"to":[70,106,115,178],"construction":[72],"such":[74],"metrics,":[75,161],"associated":[78],"choice":[79],"criteria":[81],"(spectral,":[82],"spatial,":[83],"geometric,":[84],"etc.)":[85],"relevant":[88],"BPTs,":[89,111],"particular":[91],"challenging":[94],"context":[95,189],"remote":[97],"sensing.":[98],"But,":[99],"surprisingly,":[100],"there":[101],"exists":[102],"few":[103],"works":[104],"dedicated":[105],"evaluate":[107],"quality":[109,130,171],"i.e.":[112],"their":[113],"ability":[114],"further":[116],"provide":[117],"satisfactory":[119],"segmentation.":[120],"this":[122],"paper,":[123],"we":[124,137,157],"propose":[125],"framework":[127,184],"evaluation,":[131],"supervised":[134],"paradigm.":[135],"Indeed,":[136],"assume":[138],"ground-truth":[140,165],"segments":[141,166],"are":[142],"provided":[143],"by":[144],"expert,":[146],"possibly":[147],"with":[148],"semantic":[150,175],"labelling":[151],"given":[154],"uncertainty.":[155],"Then,":[156],"describe":[158],"local":[159],"evaluation":[160,181],"nodes":[163],"/":[164],"fitting":[167],"strategies,":[168],"global":[170],"score":[172],"computation":[173],"considering":[174],"information,":[176],"leading":[177],"complete":[180],"framework.":[182],"This":[183],"illustrated":[186],"multispectral":[194],"satellite":[195],"images.":[196]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
