{"id":"https://openalex.org/W2086335235","doi":"https://doi.org/10.1109/cvpr.2011.5995497","title":"Segment an image by looking into an image corpus","display_name":"Segment an image by looking into an image corpus","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2086335235","doi":"https://doi.org/10.1109/cvpr.2011.5995497","mag":"2086335235"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2011.5995497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","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/A5101922386","display_name":"Xiaobai Liu","orcid":"https://orcid.org/0000-0002-7944-1292"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["CN","SG"],"is_corresponding":true,"raw_author_name":"Xiaobai Liu","raw_affiliation_strings":["Huazhong University of Science and Technology, China","National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668696","display_name":"Jiashi Feng","orcid":"https://orcid.org/0000-0001-6843-0064"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiashi Feng","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuicheng Yan","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412937","display_name":"Liang Lin","orcid":"https://orcid.org/0000-0003-2248-3755"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":["Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022262922","display_name":"Hai Jin","orcid":"https://orcid.org/0000-0002-3934-7605"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Jin","raw_affiliation_strings":["Huazhong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101922386"],"corresponding_institution_ids":["https://openalex.org/I165932596","https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":1.2878,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83283827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2249","last_page":"2256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification 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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6450626850128174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6114755272865295},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5501209497451782},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.544477105140686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5378273129463196},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4819023907184601},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4753912687301636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37676623463630676}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6450626850128174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6114755272865295},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5501209497451782},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.544477105140686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5378273129463196},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4819023907184601},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4753912687301636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37676623463630676},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2011.5995497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/71724","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/71724","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1528789833","https://openalex.org/W1555563476","https://openalex.org/W1999478155","https://openalex.org/W2002260165","https://openalex.org/W2016188600","https://openalex.org/W2065175294","https://openalex.org/W2067191022","https://openalex.org/W2101876643","https://openalex.org/W2106110775","https://openalex.org/W2110248298","https://openalex.org/W2116046277","https://openalex.org/W2121947440","https://openalex.org/W2135029798","https://openalex.org/W2145607950","https://openalex.org/W2152926413","https://openalex.org/W2163808566","https://openalex.org/W2168133252","https://openalex.org/W2171011251","https://openalex.org/W2171096036","https://openalex.org/W2798766386","https://openalex.org/W2799061466","https://openalex.org/W3070706509","https://openalex.org/W3143596294","https://openalex.org/W4239875977","https://openalex.org/W4254090244","https://openalex.org/W6633210108","https://openalex.org/W6641939000","https://openalex.org/W6675869279","https://openalex.org/W6677945368","https://openalex.org/W6680012447"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W1522196789"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"how":[3],"to":[4,93,109,128,161,201],"segment":[5],"an":[6,13,155],"image":[7,15,19,57,208,227],"into":[8,121,140,204],"semantic":[9,96,112,142,205],"regions":[10],"by":[11,172],"harnessing":[12],"unlabeled":[14],"corpus.":[16,58],"First,":[17],"the":[18,38,44,55,68,101,104,110,130,141,151,163,180,186,196,217,220],"segmentation":[20,209,228],"task":[21],"is":[22,147,159,170],"recast":[23],"as":[24,183,190],"a":[25,64,77,122,175],"small-size":[26],"patch":[27,168],"grouping":[28,169],"problem.":[29],"Then,":[30],"we":[31],"discover":[32],"two":[33,51,85,106,115,212],"novel":[34],"patch-pair":[35,40,46,65,78,132,188],"priors,":[36],"namely":[37],"first-order":[39],"density":[41,75],"prior":[42],"and":[43,83,154,185,193],"second-order":[45],"co-occurrence":[47,89],"prior,":[48],"founded":[49],"on":[50,80,211],"statistical":[52],"observations":[53],"from":[54],"natural":[56],"The":[59,166],"underlying":[60],"rationalities":[61],"are:":[62],"1)":[63],"falling":[66,79],"within":[67],"same":[69,111],"object":[70],"region":[71],"generally":[72],"has":[73],"higher":[74],"than":[76],"different":[81],"objects,":[82],"2)":[84],"patch-pairs":[86],"with":[87],"high":[88],"frequency":[90],"are":[91,118],"likely":[92],"bear":[94],"similar":[95],"consistence":[97,143],"confidences":[98],"(SCCs),":[99],"i.e.":[100],"confidence":[102],"of":[103,219],"consisted":[105],"patches":[107,182,203],"belonging":[108],"concept.":[113],"These":[114],"discriminative":[116],"priors":[117],"further":[119],"integrated":[120],"unified":[123],"objective":[124],"function":[125],"in":[126],"order":[127],"augment":[129],"intrinsic":[131],"similarities,":[133],"originally":[134],"calculated":[135],"using":[136],"patch-level":[137],"visual":[138],"features,":[139],"confidences.":[144],"Nonnegative":[145],"constraint":[146],"also":[148],"imposed":[149],"over":[150,223],"output":[152],"variables":[153],"efficient":[156],"iterative":[157],"procedure":[158],"provided":[160],"seek":[162],"optimal":[164],"solution.":[165],"ultimate":[167],"conducted":[171],"first":[173],"building":[174],"similarity":[176],"graph,":[177],"which":[178],"takes":[179],"atomic":[181],"vertices":[184],"augmented":[187],"SCCs":[189],"edge":[191],"weights,":[192],"then":[194],"employing":[195],"popular":[197],"Normalized":[198],"Cut":[199],"approach":[200,222],"group":[202],"clusters.":[206],"Extensive":[207],"experiments":[210],"public":[213],"databases":[214],"clearly":[215],"demonstrate":[216],"superiority":[218],"proposed":[221],"various":[224],"state-of-the-arts":[225],"unsupervised":[226],"algorithms.":[229]},"counts_by_year":[{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}