{"id":"https://openalex.org/W2077428273","doi":"https://doi.org/10.1109/iri.2010.5558925","title":"Visual information retrieval from 2D shapes by bipolar-matching","display_name":"Visual information retrieval from 2D shapes by bipolar-matching","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2077428273","doi":"https://doi.org/10.1109/iri.2010.5558925","mag":"2077428273"},"language":"en","primary_location":{"id":"doi:10.1109/iri.2010.5558925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2010.5558925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Information Reuse &amp; Integration","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088459000","display_name":"Yuqing Song","orcid":"https://orcid.org/0000-0002-0246-4330"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuqing Song","raw_affiliation_strings":["Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Chinese Academy and Sciences, China","Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Chinese Academy and Sciences, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088459000"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.19797176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5267","issue":null,"first_page":"286","last_page":"291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9889000058174133,"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/computer-science","display_name":"Computer science","score":0.6494706869125366},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5256581902503967},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48472997546195984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42970746755599976},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.41140806674957275},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.396709144115448},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15774598717689514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09863337874412537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6494706869125366},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5256581902503967},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48472997546195984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42970746755599976},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.41140806674957275},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.396709144115448},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15774598717689514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09863337874412537},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iri.2010.5558925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2010.5558925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Information Reuse &amp; Integration","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1530383550","https://openalex.org/W1605903931","https://openalex.org/W1875950222","https://openalex.org/W1978478796","https://openalex.org/W1988714735","https://openalex.org/W1990061958","https://openalex.org/W1997276658","https://openalex.org/W2007610503","https://openalex.org/W2021202955","https://openalex.org/W2024644834","https://openalex.org/W2059144111","https://openalex.org/W2060186805","https://openalex.org/W2071657752","https://openalex.org/W2080979907","https://openalex.org/W2094757789","https://openalex.org/W2104329884","https://openalex.org/W2106404777","https://openalex.org/W2117564239","https://openalex.org/W2117911298","https://openalex.org/W2149279599","https://openalex.org/W2150559991","https://openalex.org/W2468105942","https://openalex.org/W2750727344","https://openalex.org/W3159914786","https://openalex.org/W6635898437","https://openalex.org/W6636334323","https://openalex.org/W6647509209","https://openalex.org/W6647867551","https://openalex.org/W6649483870","https://openalex.org/W6719974037","https://openalex.org/W6794937971"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"One":[0],"of":[1,18,22,50,69,96,144],"the":[2,48,51,61,67,78,83,88,97,119,135,148],"most":[3],"challenging":[4],"issues":[5],"in":[6],"visual":[7],"information":[8],"retrieval":[9,11],"is":[10,56,76,147],"by":[12,86],"shape,":[13],"due":[14],"to":[15,64,102],"a":[16,28,36,57,70,104,114,141],"lack":[17],"mathematically":[19],"rigorous":[20],"definition":[21],"shape":[23,33],"similarity.":[24,34],"This":[25],"paper":[26],"presents":[27],"bipolar":[29],"model":[30,66],"for":[31],"computing":[32],"Given":[35],"discrete":[37],"region,":[38],"we":[39],"cut":[40],"its":[41,73],"Voronoi":[42],"diagram":[43],"into":[44],"two":[45,62,84,120],"parts":[46],"along":[47],"border":[49],"region":[52,71],"and":[53,72,111,126,139],"each":[54],"part":[55],"tree.":[58],"We":[59,81,130],"use":[60],"trees":[63,85,99],"respectively":[65],"structures":[68],"complement,":[74],"which":[75,146],"called":[77],"Bipolar":[79],"Model.":[80],"prune":[82],"removing":[87],"nodes":[89,95],"with":[90,123],"small":[91],"protrusions.":[92],"The":[93],"leaf":[94,105,121],"pruned":[98],"are":[100,109],"interleaved":[101],"make":[103],"chain.":[106],"Two":[107],"regions":[108],"compared":[110],"matched,":[112],"using":[113],"cyclic":[115],"edit":[116],"distance":[117],"between":[118],"chains,":[122],"restricted":[124],"merge":[125],"split":[127],"operations":[128],"allowed.":[129],"tested":[131],"our":[132],"algorithm":[133],"on":[134],"MPEG-7":[136],"data":[137],"set":[138],"made":[140],"\u201cbullseye\u201d":[142],"score":[143],"89.9%,":[145],"best":[149],"performance":[150],"ever":[151],"reported.":[152]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
