{"id":"https://openalex.org/W2127855740","doi":"https://doi.org/10.1109/cvpr.2008.4587492","title":"Constrained image segmentation from hierarchical boundaries","display_name":"Constrained image segmentation from hierarchical boundaries","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2127855740","doi":"https://doi.org/10.1109/cvpr.2008.4587492","mag":"2127855740"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://basepub.dauphine.fr/handle/123456789/9696","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013512298","display_name":"Pablo Arbel\u00e1ez","orcid":"https://orcid.org/0000-0001-5244-2407"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pablo Arbelaez","raw_affiliation_strings":["University of California Berkeley, Berkeley, CA, USA","California University, Berkeley, CA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"California University, Berkeley, CA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107368606","display_name":"Laurent D. Cohen","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/I171048554","display_name":"Centre de Recherche en Math\u00e9matiques de la D\u00e9cision","ror":"https://ror.org/03s0gj002","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I171048554","https://openalex.org/I2746051580","https://openalex.org/I4210141950","https://openalex.org/I56435720"]},{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Cohen","raw_affiliation_strings":["CEREMADE, UMR CNRS 7534, Universit\u00e9 Paris Dauphine, Paris, France","CEREMADE, UMR CNRS 7534, Universit\u00e9 Paris Dauphine, 75775, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEREMADE, UMR CNRS 7534, Universit\u00e9 Paris Dauphine, Paris, France","institution_ids":["https://openalex.org/I56435720","https://openalex.org/I171048554","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CEREMADE, UMR CNRS 7534, Universit\u00e9 Paris Dauphine, 75775, France","institution_ids":["https://openalex.org/I56435720","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.1,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.97298514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987000226974487,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9933000206947327,"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/image-segmentation","display_name":"Image segmentation","score":0.661602258682251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6367279887199402},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6317549347877502},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6260790824890137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6057667136192322},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.601152777671814},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.58502197265625},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5497831702232361},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5156082510948181},{"id":"https://openalex.org/keywords/ultrametric-space","display_name":"Ultrametric space","score":0.512342095375061},{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.5001504421234131},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46201908588409424},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4582582712173462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4554845690727234},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.4444361925125122},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4140397310256958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32101356983184814},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.08768856525421143}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.661602258682251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367279887199402},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6317549347877502},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6260790824890137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6057667136192322},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.601152777671814},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.58502197265625},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5497831702232361},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5156082510948181},{"id":"https://openalex.org/C61067352","wikidata":"https://www.wikidata.org/wiki/Q1897429","display_name":"Ultrametric space","level":3,"score":0.512342095375061},{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.5001504421234131},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46201908588409424},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4582582712173462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4554845690727234},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.4444361925125122},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4140397310256958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32101356983184814},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.08768856525421143},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2008.4587492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:basepub.dauphine.fr:123456789/9696","is_oa":true,"landing_page_url":"https://basepub.dauphine.fr/handle/123456789/9696","pdf_url":null,"source":{"id":"https://openalex.org/S4306401007","display_name":"Base Institutionnelle de Recherche de l'universit\u00e9 Paris-Dauphine (BIRD) (University Paris-Dauphine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102197404","host_organization_name":"Universit\u00e9 Paris-Sud","host_organization_lineage":["https://openalex.org/I102197404"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication / Conf\u00e9rence"}],"best_oa_location":{"id":"pmh:oai:basepub.dauphine.fr:123456789/9696","is_oa":true,"landing_page_url":"https://basepub.dauphine.fr/handle/123456789/9696","pdf_url":null,"source":{"id":"https://openalex.org/S4306401007","display_name":"Base Institutionnelle de Recherche de l'universit\u00e9 Paris-Dauphine (BIRD) (University Paris-Dauphine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102197404","host_organization_name":"Universit\u00e9 Paris-Sud","host_organization_lineage":["https://openalex.org/I102197404"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication / Conf\u00e9rence"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1560055494","https://openalex.org/W1599786999","https://openalex.org/W1653261828","https://openalex.org/W1785730614","https://openalex.org/W1967268147","https://openalex.org/W2108691698","https://openalex.org/W2113137767","https://openalex.org/W2115193009","https://openalex.org/W2117193984","https://openalex.org/W2119823327","https://openalex.org/W2120931403","https://openalex.org/W2121927366","https://openalex.org/W2133267925","https://openalex.org/W2134839354","https://openalex.org/W2141376824","https://openalex.org/W2142707712","https://openalex.org/W2145023731","https://openalex.org/W2160411867","https://openalex.org/W2165914352","https://openalex.org/W2169528473","https://openalex.org/W2169551590","https://openalex.org/W2998023265","https://openalex.org/W6638212498","https://openalex.org/W6679372278"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2551987074","https://openalex.org/W3144569342","https://openalex.org/W2355564272","https://openalex.org/W2559983475","https://openalex.org/W2945274617","https://openalex.org/W2353364291","https://openalex.org/W2790780243","https://openalex.org/W2553765490","https://openalex.org/W2030441184"],"abstract_inverted_index":{"In":[0],"this":[1,40],"paper,":[2],"we":[3,42,77],"address":[4],"the":[5,28,31,36,44,58,92,97,101,109,128,131,137],"problem":[6],"of":[7,10,25,60,63,74,100,111,130],"constrained":[8,116],"segmentation":[9],"natural":[11],"images,":[12],"in":[13,27],"which":[14],"a":[15,61,66,72,88,95,104],"human":[16],"user":[17],"places":[18],"one":[19],"seed":[20,75],"point":[21],"inside":[22],"each":[23],"object":[24,37],"interest":[26,129],"image":[29],"and":[30,48,124],"task":[32],"is":[33,103,120],"to":[34,87,141],"determine":[35],"boundaries.":[38],"For":[39],"purpose,":[41],"study":[43],"connection":[45],"between":[46],"seed-based":[47],"hierarchical":[49,113],"segmentation.":[50,117],"We":[51,126],"consider":[52],"an":[53,79],"Ultrametric":[54],"Contour":[55],"Map":[56],"(UCM),":[57],"representation":[59],"hierarchy":[62],"segmentations":[64],"as":[65],"real-valued":[67],"boundary":[68],"image.":[69],"Starting":[70],"from":[71],"set":[73],"points,":[76],"propose":[78],"algorithm":[80,119],"for":[81,115],"constructing":[82],"Voronoi":[83],"tessellations":[84],"with":[85,139],"respect":[86,140],"distance":[89],"defined":[90],"by":[91,134],"UCM.":[93],"As":[94],"result,":[96],"main":[98],"contribution":[99],"paper":[102],"method":[105],"that":[106],"allows":[107],"exploiting":[108],"information":[110],"any":[112],"scheme":[114],"Our":[118],"parameter-free,":[121],"computationally":[122],"efficient":[123],"robust.":[125],"prove":[127],"approach":[132],"proposed":[133],"evaluating":[135],"quantitatively":[136],"results":[138],"ground-truth":[142],"data.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}