{"id":"https://openalex.org/W2024225364","doi":"https://doi.org/10.1109/icip.2014.7025657","title":"Robot users for the evaluation of boundary-tracking approaches in interactive image segmentation","display_name":"Robot users for the evaluation of boundary-tracking approaches in interactive image segmentation","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2024225364","doi":"https://doi.org/10.1109/icip.2014.7025657","mag":"2024225364"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","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/A5045103766","display_name":"Thiago V. Spina","orcid":"https://orcid.org/0000-0002-6197-2626"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Thiago V. Spina","raw_affiliation_strings":["Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil","Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil#TAB#","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015267493","display_name":"Alexandre X. Falc\u00e3o","orcid":"https://orcid.org/0000-0002-2914-5380"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alexandre X. Falcao","raw_affiliation_strings":["Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil","Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil#TAB#","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045103766"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68535373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"28","issue":null,"first_page":"3248","last_page":"3252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7541285753250122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7443673610687256},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7419888973236084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7410366535186768},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.7199335098266602},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7081780433654785},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5748717188835144},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5546598434448242},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.46004512906074524},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45936909317970276},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45225998759269714},{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.4509701728820801},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4419385492801666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12287995219230652}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7541285753250122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7443673610687256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7419888973236084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7410366535186768},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.7199335098266602},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7081780433654785},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5748717188835144},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5546598434448242},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.46004512906074524},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45936909317970276},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45225998759269714},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.4509701728820801},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4419385492801666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12287995219230652},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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":27,"referenced_works":["https://openalex.org/W150488437","https://openalex.org/W1967268147","https://openalex.org/W1979548221","https://openalex.org/W1987983010","https://openalex.org/W1991338370","https://openalex.org/W2008266318","https://openalex.org/W2025564919","https://openalex.org/W2033762143","https://openalex.org/W2048593433","https://openalex.org/W2085864267","https://openalex.org/W2097137218","https://openalex.org/W2115284428","https://openalex.org/W2119300483","https://openalex.org/W2122170713","https://openalex.org/W2124351162","https://openalex.org/W2138454898","https://openalex.org/W2138700805","https://openalex.org/W2144548729","https://openalex.org/W2147330191","https://openalex.org/W2153502599","https://openalex.org/W2159619845","https://openalex.org/W2168555635","https://openalex.org/W2912696013","https://openalex.org/W4392042140","https://openalex.org/W6606184622","https://openalex.org/W6645148602","https://openalex.org/W6662099507"],"related_works":["https://openalex.org/W2592395359","https://openalex.org/W2535231171","https://openalex.org/W2045342254","https://openalex.org/W1501331687","https://openalex.org/W2326647871","https://openalex.org/W4205247302","https://openalex.org/W2468652214","https://openalex.org/W2501551404","https://openalex.org/W1504527458","https://openalex.org/W2130144716"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2],"interactive":[3],"image":[4,59],"segmentation":[5],"focused":[6],"on":[7,37],"eliminating":[8],"the":[9,30,38,52,61,68,75,87,94,108,114,119],"user":[10,54,132],"bias":[11],"during":[12],"evaluation":[13],"by":[14,129],"simulating":[15],"their":[16],"behavior":[17,55],"using":[18],"robot":[19,45,149],"users.":[20,124],"However,":[21],"these":[22],"robots":[23,72,115,128,170],"only":[24],"work":[25],"for":[26,93,176],"region-based":[27,162],"methods,":[28],"excluding":[29],"important":[31],"class":[32],"of":[33,63],"approaches":[34,157],"that":[35,47,158,169],"rely":[36],"boundary-tracking":[39,139,160],"paradigm.":[40],"We":[41,125,144],"propose":[42],"completely":[43],"novel":[44],"users":[46,150],"are":[48],"able":[49],"to":[50,67,86,154,173],"simulate":[51],"human":[53],"when":[56,107],"segmenting":[57],"an":[58],"through":[60],"addition":[62],"anchor":[64,84,104],"points":[65],"close":[66],"object's":[69],"boundary.":[70],"Our":[71],"constantly":[73],"evaluate":[74],"optimum-boundary":[76],"segment":[77,97],"being":[78],"computed":[79],"from":[80],"a":[81,131],"previously":[82],"selected":[83],"point":[85],"current":[88],"virtual":[89],"mouse":[90],"position,":[91],"seeking":[92],"longest":[95],"possible":[96],"with":[98,161],"minimum":[99],"acceptable":[100],"error.":[101],"A":[102],"new":[103,174],"is":[105,110],"added":[106],"error":[109],"too":[111],"high":[112],"and":[113,134,142],"iterate":[116],"until":[117],"closing":[118],"contour,":[120],"just":[121],"like":[122],"real":[123],"validate":[126],"our":[127,148],"conducting":[130],"study":[133],"extensive":[135],"experiments,":[136],"considering":[137],"two":[138],"methods:":[140],"live-wire-on-the-fly":[141],"Riverbed.":[143],"further":[145],"show":[146],"how":[147],"can":[151],"be":[152],"used":[153],"assess":[155],"hybrid":[156],"combine":[159],"delineation,":[163],"such":[164],"as":[165],"LiveMarkers,":[166],"while":[167],"conjecturing":[168],"might":[171],"lead":[172],"methods":[175],"automatic":[177],"foreground":[178],"segmentation.":[179]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
