{"id":"https://openalex.org/W2150532800","doi":"https://doi.org/10.1109/wacv.2013.6475033","title":"Shape and image retrieval by organizing instances using population cues","display_name":"Shape and image retrieval by organizing instances using population cues","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2150532800","doi":"https://doi.org/10.1109/wacv.2013.6475033","mag":"2150532800"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2013.6475033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2013.6475033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Applications of Computer Vision (WACV)","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/A5007532763","display_name":"Andrew Temlyakov","orcid":null},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andrew Temlyakov","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113513933","display_name":"Pahal Dalal","orcid":null},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pahal Dalal","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058298152","display_name":"Jarrell Waggoner","orcid":null},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jarrell Waggoner","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062478405","display_name":"Dhaval Salvi","orcid":null},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dhaval Salvi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082259804","display_name":"Song Wang","orcid":"https://orcid.org/0000-0003-4152-5295"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007532763"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":null,"apc_paid":null,"fwci":0.5524,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72909572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"31","issue":null,"first_page":"303","last_page":"308"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","score":0.9883000254631042,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8764790296554565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7538989782333374},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.721013069152832},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.7130510807037354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6709946990013123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6226320862770081},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6184154748916626},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5431361198425293},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5431004166603088},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.42927491664886475},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3770045042037964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1785079538822174}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8764790296554565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7538989782333374},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.721013069152832},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.7130510807037354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6709946990013123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6226320862770081},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6184154748916626},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5431361198425293},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5431004166603088},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.42927491664886475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3770045042037964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1785079538822174},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv.2013.6475033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2013.6475033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.303.1331","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.1331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.sc.edu/%7Esongwang/document/wacv13a.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W72708899","https://openalex.org/W645748567","https://openalex.org/W1483634300","https://openalex.org/W1552231868","https://openalex.org/W1589666435","https://openalex.org/W1996187920","https://openalex.org/W2030654976","https://openalex.org/W2045915581","https://openalex.org/W2055979507","https://openalex.org/W2057175746","https://openalex.org/W2060719790","https://openalex.org/W2105026917","https://openalex.org/W2126357415","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2132742889","https://openalex.org/W2148659553","https://openalex.org/W2150571057","https://openalex.org/W2151103935","https://openalex.org/W2152262720","https://openalex.org/W2156365280","https://openalex.org/W2165414070","https://openalex.org/W2170818070","https://openalex.org/W2171964228","https://openalex.org/W2172188317","https://openalex.org/W2799061466","https://openalex.org/W4230946174","https://openalex.org/W6602943767","https://openalex.org/W6628964841","https://openalex.org/W6633107255","https://openalex.org/W6635204224","https://openalex.org/W6675974268","https://openalex.org/W6679118146","https://openalex.org/W6679563284","https://openalex.org/W6681968602","https://openalex.org/W6685199254"],"related_works":["https://openalex.org/W2020053772","https://openalex.org/W2035433397","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W4320802053","https://openalex.org/W2145721853"],"abstract_inverted_index":{"Reliably":[0],"measuring":[1],"the":[2,31,46,72,78,121,128,139,148],"similarity":[3,65],"of":[4,30,48,97],"two":[5,35],"shapes":[6,80],"or":[7,81,159],"images":[8],"(instances)":[9],"is":[10,101,151],"an":[11],"important":[12],"problem":[13],"for":[14],"various":[15],"computer":[16],"vision":[17],"applications":[18],"such":[19],"as":[20,136,138],"classification,":[21],"recognition,":[22],"and":[23,131,141],"retrieval.":[24],"While":[25],"pairwise":[26,52,64],"measures":[27,66],"take":[28],"advantage":[29],"geometric":[32],"differences":[33],"between":[34,104],"instances":[36,49,75,91,112],"to":[37,89,106],"quantify":[38],"their":[39],"similarity,":[40],"recent":[41],"advances":[42],"use":[43,85],"relationships":[44],"among":[45],"population":[47,68],"when":[50],"quantifying":[51],"measures.":[53],"In":[54],"this":[55,86],"paper,":[56],"we":[57,124],"propose":[58],"a":[59],"novel":[60],"method":[61,123,150],"which":[62],"refines":[63],"using":[67],"cues":[69],"by":[70,77],"examining":[71],"most":[73],"similar":[74,98],"shared":[76],"compared":[79],"images.":[82],"We":[83,145],"then":[84,102],"refined":[87],"measure":[88],"organize":[90],"into":[92],"disjoint":[93],"components":[94,105],"that":[95,147],"consist":[96],"instances.":[99],"Connectivity":[100],"established":[103],"avoid":[107],"hard":[108],"constraints":[109],"on":[110,127,156],"what":[111],"can":[113],"be":[114],"retrieved,":[115],"improving":[116],"retrieval":[117],"performance.":[118],"To":[119],"evaluate":[120],"proposed":[122,149],"conduct":[125],"experiments":[126],"well-known":[129],"MPEG-7":[130],"Swedish":[132],"Leaf":[133],"shape":[134],"datasets":[135],"well":[137,155],"Nister":[140],"Stewenius":[142],"image":[143],"dataset.":[144],"show":[146],"versatile,":[152],"performing":[153],"very":[154],"its":[157],"own":[158],"in":[160],"concert":[161],"with":[162],"existing":[163],"methods.":[164]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}
