{"id":"https://openalex.org/W2124945493","doi":"https://doi.org/10.1109/icip.2005.1529740","title":"Variational level set methods: from continuous to discrete setting, applications in video segmentation and tracking","display_name":"Variational level set methods: from continuous to discrete setting, applications in video segmentation and tracking","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2124945493","doi":"https://doi.org/10.1109/icip.2005.1529740","mag":"2124945493"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1529740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1529740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://basepub.dauphine.fr/handle/123456789/6597","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078939062","display_name":"Florent Ranchin","orcid":null},"institutions":[{"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"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","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"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"F. Ranchin","raw_affiliation_strings":["CEREMADE (UMR CNRS 7534), Universit\u00e9 Paris Dauphine, Paris, France","CEREMADE, University Paris-Dauphine, France"],"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, University Paris-Dauphine, France","institution_ids":["https://openalex.org/I56435720","https://openalex.org/I171048554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110256116","display_name":"F. Dibos","orcid":null},"institutions":[{"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"]},{"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/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"F. Dibos","raw_affiliation_strings":["CEREMADE (UMR CNRS 7534), Universit\u00e9 Paris Dauphine, Paris, France","CEREMADE, University Paris-Dauphine, France"],"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, University Paris-Dauphine, France","institution_ids":["https://openalex.org/I56435720","https://openalex.org/I171048554"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078939062"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I171048554","https://openalex.org/I56435720"],"apc_list":null,"apc_paid":null,"fwci":0.5875,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71258302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9879999756813049,"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/segmentation","display_name":"Segmentation","score":0.6873242855072021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6706997156143188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6370850205421448},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6327545046806335},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6277698278427124},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5937588214874268},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5657390356063843},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.558574378490448},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4917057156562805},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.47313347458839417},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4721180200576782},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4473857879638672},{"id":"https://openalex.org/keywords/transpose","display_name":"Transpose","score":0.4264912009239197},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33521759510040283},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.32454976439476013}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6873242855072021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6706997156143188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6370850205421448},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6327545046806335},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6277698278427124},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5937588214874268},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5657390356063843},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.558574378490448},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4917057156562805},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.47313347458839417},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4721180200576782},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4473857879638672},{"id":"https://openalex.org/C200106649","wikidata":"https://www.wikidata.org/wiki/Q223683","display_name":"Transpose","level":3,"score":0.4264912009239197},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33521759510040283},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.32454976439476013},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2005.1529740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1529740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"},{"id":"pmh:oai:basepub.dauphine.fr:123456789/6597","is_oa":true,"landing_page_url":"https://basepub.dauphine.fr/handle/123456789/6597","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:123456789/6597","is_oa":true,"landing_page_url":"https://basepub.dauphine.fr/handle/123456789/6597","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":11,"referenced_works":["https://openalex.org/W39571782","https://openalex.org/W1554544485","https://openalex.org/W1573665290","https://openalex.org/W1584280986","https://openalex.org/W1991113069","https://openalex.org/W2020999234","https://openalex.org/W2104755791","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2151810041","https://openalex.org/W4293183906"],"related_works":["https://openalex.org/W2368150111","https://openalex.org/W2125739208","https://openalex.org/W2098360446","https://openalex.org/W2299318636","https://openalex.org/W2888165508","https://openalex.org/W2168406752","https://openalex.org/W3023152879","https://openalex.org/W2165624154","https://openalex.org/W2766054123","https://openalex.org/W2135353231"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,17],"investigate":[4,58],"some":[5],"recent":[6,42],"active":[7],"contour":[8],"models":[9],"used":[10],"in":[11],"image":[12],"and":[13,16,47,63],"video":[14,61],"segmentation":[15,62],"transpose":[18],"them":[19],"into":[20],"a":[21],"discrete":[22],"form":[23],"to":[24],"apply":[25],"the":[26,41,54],"iterated":[27],"conditional":[28],"modes":[29],"(ICM)":[30],"algorithm.":[31],"This":[32],"work":[33,43],"can":[34],"be":[35],"seen":[36],"as":[37],"an":[38],"extension":[39],"of":[40,44],"T.":[45],"Chan":[46],"B.":[48],"Song":[49],"for":[50,60],"other":[51],"functional":[52],"than":[53],"Mumford-Shah/Chan-Vese":[55],"one.":[56],"We":[57],"it":[59],"tracking":[64],"applications.":[65]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}