{"id":"https://openalex.org/W2016440652","doi":"https://doi.org/10.1109/tmm.2013.2270455","title":"Robust Spatial Consistency Graph Model for Partial Duplicate Image Retrieval","display_name":"Robust Spatial Consistency Graph Model for Partial Duplicate Image Retrieval","publication_year":2013,"publication_date":"2013-06-20","ids":{"openalex":"https://openalex.org/W2016440652","doi":"https://doi.org/10.1109/tmm.2013.2270455","mag":"2016440652"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2013.2270455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2013.2270455","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5007946897","display_name":"Lingyang Chu","orcid":"https://orcid.org/0000-0002-8937-1750"},"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":false,"raw_author_name":"Lingyang Chu","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085719285","display_name":"Shuqiang Jiang","orcid":"https://orcid.org/0000-0002-1596-4326"},"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":false,"raw_author_name":"Shuqiang Jiang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669242","display_name":"Shuhui Wang","orcid":"https://orcid.org/0000-0002-5931-0527"},"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":false,"raw_author_name":"Shuhui Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389093","display_name":"Yanyan Zhang","orcid":"https://orcid.org/0000-0002-5223-6790"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Zhang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China","Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China","Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.7349,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.9747301,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"8","first_page":"1982","last_page":"1996"},"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":0.9990000128746033,"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":0.9847999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7750704288482666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6553519368171692},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6046682000160217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6031883955001831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5953441262245178},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5461503267288208},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.43247437477111816},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.42592889070510864},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42557376623153687},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.37442541122436523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34996676445007324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30306243896484375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2708192467689514}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7750704288482666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6553519368171692},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6046682000160217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6031883955001831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5953441262245178},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5461503267288208},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.43247437477111816},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.42592889070510864},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42557376623153687},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37442541122436523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34996676445007324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30306243896484375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2708192467689514},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2013.2270455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2013.2270455","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1517044116","https://openalex.org/W1556531089","https://openalex.org/W1560760484","https://openalex.org/W2055906546","https://openalex.org/W2081332440","https://openalex.org/W2085261163","https://openalex.org/W2098894541","https://openalex.org/W2102481828","https://openalex.org/W2107711468","https://openalex.org/W2109761506","https://openalex.org/W2113657379","https://openalex.org/W2118355530","https://openalex.org/W2122934855","https://openalex.org/W2124404372","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2133671054","https://openalex.org/W2136994027","https://openalex.org/W2141362318","https://openalex.org/W2144127483","https://openalex.org/W2144526807","https://openalex.org/W2148809531","https://openalex.org/W2151103935","https://openalex.org/W2152898476","https://openalex.org/W2154952031","https://openalex.org/W2155490028","https://openalex.org/W2155980617","https://openalex.org/W2161561128","https://openalex.org/W2170432751","https://openalex.org/W2171448996","https://openalex.org/W2797585760","https://openalex.org/W3152330821","https://openalex.org/W4238003328","https://openalex.org/W4247915583","https://openalex.org/W4375906334","https://openalex.org/W6633472159","https://openalex.org/W6633678172","https://openalex.org/W6676280691","https://openalex.org/W6681485143","https://openalex.org/W6682581528","https://openalex.org/W6682717316","https://openalex.org/W6683423765"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W1966831329","https://openalex.org/W1995688991","https://openalex.org/W2020188645","https://openalex.org/W2739923608","https://openalex.org/W2049930962"],"abstract_inverted_index":{"Partial":[0],"duplicate":[1,10,39,46,88,100],"images":[2,101],"often":[3],"have":[4],"large":[5,22,69,205],"non-duplicate":[6,29],"regions":[7,11],"and":[8,95,163,167],"small":[9,32],"with":[12,195],"random":[13],"rotation,":[14],"which":[15,93,120,131,178],"lead":[16],"to":[17,160],"the":[18,28,38,64,98,105,114,123,138,143,165,170,181,189,196],"following":[19,124],"problems:":[20],"1)":[21,127],"number":[23,33],"of":[24,34,60,71,122,137,146,154,169,191],"noisy":[25,72,184],"features":[26,36,66,73,185],"from":[27,37,67],"regions;":[30,40],"2)":[31,173],"representative":[35,65,106],"3)":[41],"randomly":[42],"rotated":[43],"or":[44],"deformed":[45],"regions.":[47],"These":[48],"problems":[49],"challenge":[50],"many":[51],"content":[52],"based":[53,112],"image":[54,89,207],"retrieval":[55,90,212],"(CBIR)":[56],"approaches,":[57],"since":[58],"most":[59],"them":[61],"cannot":[62],"distinguish":[63],"a":[68,75,84,133,151],"proportion":[70],"in":[74],"rotation":[76,85,134],"invariant":[77,86,135],"way.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"propose":[83],"partial":[87,99],"(PDIR)":[91],"approach,":[92],"effectively":[94,187],"efficiently":[96],"retrieves":[97],"by":[102,186],"accurately":[103],"matching":[104],"SIFT":[107,147,171],"features.":[108,172],"Our":[109],"method":[110],"is":[111,132],"on":[113,203],"Combined-Orientation-Position":[115],"(COP)":[116],"consistency":[117,141,175],"graph":[118,176],"model,":[119,177],"consists":[121],"two":[125],"parts:":[126],"The":[128,174],"COP":[129,199],"consistency,":[130],"measurement":[136],"relative":[139],"spatial":[140],"among":[142],"candidate":[144,192],"matches":[145,194],"features;":[148],"it":[149],"uses":[150],"coarse-to-fine":[152],"family":[153],"evenly":[155],"sectored":[156],"polar":[157],"coordinate":[158],"systems":[159],"softly":[161],"quantize":[162],"combine":[164],"orientations":[166],"positions":[168],"robustly":[179],"rejects":[180],"spatially":[182],"inconsistent":[183],"detecting":[188],"group":[190],"feature":[193],"largest":[197],"average":[198],"consistency.":[200],"Extensive":[201],"experiments":[202],"five":[204],"scale":[206],"data":[208],"sets":[209],"show":[210],"promising":[211],"performances.":[213]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":5}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
