{"id":"https://openalex.org/W2157599574","doi":"https://doi.org/10.1109/cvprw.2010.5543793","title":"Measuring the quality of figure/ground segmentations","display_name":"Measuring the quality of figure/ground segmentations","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2157599574","doi":"https://doi.org/10.1109/cvprw.2010.5543793","mag":"2157599574"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2010.5543793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops","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/A5000041406","display_name":"Michael Arens","orcid":"https://orcid.org/0000-0002-7857-0332"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Michael Arens","raw_affiliation_strings":["Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Gutleuthausstr. 1, 76275 Ettlingen, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Gutleuthausstr. 1, 76275 Ettlingen, Germany","institution_ids":["https://openalex.org/I4210111500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027691810","display_name":"Claus Anderer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Claus Anderer","raw_affiliation_strings":["Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Gutleuthausstr. 1, 76275 Ettlingen, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Gutleuthausstr. 1, 76275 Ettlingen, Germany","institution_ids":["https://openalex.org/I4210111500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000041406"],"corresponding_institution_ids":["https://openalex.org/I4210111500"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.2021109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"ac323(set)tp 10","issue":null,"first_page":"52","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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":0.7904791831970215},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7786690592765808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7352855205535889},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6696460843086243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6041854619979858},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5512592792510986},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5183752179145813},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5070638656616211},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.473230242729187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42648231983184814},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4263169467449188},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4239596128463745},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36324048042297363}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7904791831970215},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7786690592765808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352855205535889},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6696460843086243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6041854619979858},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5512592792510986},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5183752179145813},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5070638656616211},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.473230242729187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42648231983184814},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4263169467449188},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4239596128463745},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36324048042297363},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/cvprw.2010.5543793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.942.2408","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.942.2408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Michael_Arens/publication/224165497_Measuring_the_quality_of_figureground_segmentations/links/09e415095f8254a5b4000000.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.956.6605","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.956.6605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.arens-online.info/publications/MA_CA_OTCBVS2010.pdf","raw_type":"text"},{"id":"pmh:oai:fraunhofer.de:N-144923","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-144923.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IOSB","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/367346","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/367346","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W59822220","https://openalex.org/W79006141","https://openalex.org/W2081071612","https://openalex.org/W2111918405","https://openalex.org/W2113089599","https://openalex.org/W2121189958","https://openalex.org/W2121927366","https://openalex.org/W2140235142","https://openalex.org/W2141849769","https://openalex.org/W2170701234","https://openalex.org/W2502589872","https://openalex.org/W3138771162","https://openalex.org/W3210501713","https://openalex.org/W6603224732","https://openalex.org/W6685185701","https://openalex.org/W6792221166"],"related_works":["https://openalex.org/W2047973478","https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W1983393909","https://openalex.org/W1997160662","https://openalex.org/W2040150569","https://openalex.org/W2132174924","https://openalex.org/W1522196789","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"Figure/Ground":[0],"segmentation":[1,21],"is":[2,35],"of":[3,9,29,69],"great":[4],"interest":[5],"within":[6],"the":[7,27,46,62],"analysis":[8],"video":[10],"streams.":[11],"We":[12],"propose":[13],"a":[14,30,80],"new,":[15],"continuous":[16],"evaluation":[17,33],"measure":[18,48,64],"for":[19,25,51],"figure/ground":[20],"algorithms":[22,71],"which":[23],"allows":[24],"assessing":[26],"quality":[28],"segmentation.":[31],"The":[32],"approach":[34],"based":[36],"on":[37],"set":[38],"similarities":[39],"and":[40,67,74],"logic-motivated":[41],"considerations.":[42],"Results":[43],"obtained":[44],"with":[45],"new":[47],"are":[49],"shown":[50],"several":[52],"well-known":[53],"algorithms.":[54],"Compared":[55],"to":[56],"existing":[57],"detection":[58],"rate/false":[59],"alarm":[60],"considerations,":[61],"proposed":[63],"reveals":[65],"advantages":[66],"shortcommings":[68],"different":[70],"much":[72],"better":[73],"can":[75],"therefore":[76],"be":[77],"used":[78],"as":[79],"selection":[81],"criterion.":[82]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
