{"id":"https://openalex.org/W2294224788","doi":"https://doi.org/10.1109/tip.2016.2522298","title":"MultiVCRank With Applications to Image Retrieval","display_name":"MultiVCRank With Applications to Image Retrieval","publication_year":2016,"publication_date":"2016-01-29","ids":{"openalex":"https://openalex.org/W2294224788","doi":"https://doi.org/10.1109/tip.2016.2522298","mag":"2294224788","pmid":"https://pubmed.ncbi.nlm.nih.gov/26849860"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2522298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2522298","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5036606364","display_name":"Xutao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xutao Li","raw_affiliation_strings":["Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002523892","display_name":"Yunming Ye","orcid":"https://orcid.org/0000-0002-1807-8581"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunming Ye","raw_affiliation_strings":["Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010561682","display_name":"Michael K. Ng","orcid":"https://orcid.org/0000-0001-6833-5227"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Michael K. Ng","raw_affiliation_strings":["Department of Mathematics, Hong Kong Baptist University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3259,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86151085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":"3","first_page":"1396","last_page":"1409"},"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":0.9995999932289124,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.98580002784729,"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/hypergraph","display_name":"Hypergraph","score":0.8735053539276123},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6782640814781189},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6779537200927734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5803669095039368},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5794501304626465},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5126506686210632},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5073725581169128},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48044273257255554},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45884430408477783},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4277307391166687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4232596755027771},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41786015033721924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40962618589401245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38367152214050293},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2153850793838501},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.07561033964157104}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8735053539276123},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6782640814781189},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6779537200927734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5803669095039368},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5794501304626465},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5126506686210632},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5073725581169128},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48044273257255554},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45884430408477783},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4277307391166687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4232596755027771},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41786015033721924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40962618589401245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38367152214050293},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2153850793838501},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.07561033964157104},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2016.2522298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2522298","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:26849860","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26849860","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:repository.hkbu.edu.hk:hkbu_staff_publication-7156","is_oa":false,"landing_page_url":"https://repository.hkbu.edu.hk/hkbu_staff_publication/6143","pdf_url":null,"source":{"id":"https://openalex.org/S4377196872","display_name":"HKBU Institutional Repository (Hong Kong Baptist University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141568987","host_organization_name":"Hong Kong Baptist University","host_organization_lineage":["https://openalex.org/I141568987"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"HKBU Staff Publication","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1826597703","display_name":"\u5f02\u6784\u591a\u5c5e\u6027\u7f51\u7edc\u7684\u591a\u89c6\u56fe\u805a\u7c7b\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61572158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7667564328","display_name":"\u591a\u5173\u7cfb\u56fe\u7684\u591a\u7c7b\u6807\u5206\u7c7b\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61272538","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W94565353","https://openalex.org/W1854214752","https://openalex.org/W1923967535","https://openalex.org/W1975517671","https://openalex.org/W1989889610","https://openalex.org/W1999478155","https://openalex.org/W2011143967","https://openalex.org/W2017187835","https://openalex.org/W2022508996","https://openalex.org/W2035720976","https://openalex.org/W2037954058","https://openalex.org/W2039118116","https://openalex.org/W2045108986","https://openalex.org/W2046589280","https://openalex.org/W2100385916","https://openalex.org/W2101042689","https://openalex.org/W2102605133","https://openalex.org/W2102765684","https://openalex.org/W2107950159","https://openalex.org/W2109868644","https://openalex.org/W2111993661","https://openalex.org/W2112008792","https://openalex.org/W2112096778","https://openalex.org/W2113817964","https://openalex.org/W2117109360","https://openalex.org/W2118509786","https://openalex.org/W2121947440","https://openalex.org/W2125407560","https://openalex.org/W2128272608","https://openalex.org/W2135705692","https://openalex.org/W2138516811","https://openalex.org/W2138621811","https://openalex.org/W2141125852","https://openalex.org/W2143685245","https://openalex.org/W2145287260","https://openalex.org/W2146103513","https://openalex.org/W2151103935","https://openalex.org/W2153449455","https://openalex.org/W2160550980","https://openalex.org/W2162762921","https://openalex.org/W2162977472","https://openalex.org/W2163605009","https://openalex.org/W2166727305","https://openalex.org/W2293824885","https://openalex.org/W2403806030","https://openalex.org/W2949235290","https://openalex.org/W2951638509","https://openalex.org/W6603861661","https://openalex.org/W6639055396","https://openalex.org/W6640412524","https://openalex.org/W6675026286","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W3138003926","https://openalex.org/W4300037846","https://openalex.org/W1630514295","https://openalex.org/W1537073411","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W4288275998","https://openalex.org/W2472555608","https://openalex.org/W4214498971"],"abstract_inverted_index":{"In":[0,53,108,185],"this":[1],"paper,":[2],"we":[3,188],"propose":[4],"and":[5,29,67,92,113,145,173,205],"develop":[6],"a":[7,30,49,63,127,148],"multi-visual-concept":[8],"ranking":[9,81],"(MultiVCRank)":[10],"scheme":[11,82],"for":[12],"image":[13,21,106],"retrieval.":[14,107],"The":[15,136],"key":[16],"idea":[17],"is":[18,32,65,83,143,151,196],"that":[19,190],"an":[20,119],"can":[22,69],"be":[23,70],"represented":[24],"by":[25,72,99,118],"several":[26],"visual":[27,36,51,78,97],"concepts,":[28],"hypergraph":[31],"built":[33],"based":[34],"on":[35,169],"concepts":[37,98],"as":[38,45],"hyperedges,":[39],"where":[40],"each":[41],"edge":[42],"contains":[43],"images":[44,91],"vertices":[46,61],"to":[47,85,104,122,154,165],"share":[48],"specific":[50],"concept.":[52,79],"the":[54,57,76,87,93,109,111,133,140,156,159,170,179,182,186,191],"constructed":[55,134],"hypergraph,":[56],"weight":[58],"between":[59],"two":[60],"in":[62,75,158],"hyperedge":[64],"incorporated,":[66],"it":[68,163],"measured":[71],"their":[73],"affinity":[74],"corresponding":[77],"A":[80],"designed":[84],"compute":[86],"association":[88,112],"scores":[89,95,115],"of":[90,96,126,139,181,194,201],"relevance":[94,114],"employing":[100],"input":[101],"query":[102],"vectors":[103],"handle":[105],"scheme,":[110,160],"are":[116],"determined":[117],"iterative":[120],"method":[121,142],"solve":[123],"limiting":[124],"probabilities":[125],"multi-dimensional":[128],"Markov":[129],"chain":[130],"arising":[131],"from":[132],"hypergraph.":[135],"convergence":[137],"analysis":[138],"iteration":[141],"studied":[144],"analyzed.":[146],"Moreover,":[147],"learning":[149],"algorithm":[150],"also":[152],"proposed":[153,183],"set":[155],"parameters":[157],"which":[161],"makes":[162],"simple":[164],"use.":[166],"Experimental":[167],"results":[168],"MSRC,":[171],"Corel,":[172],"Caltech256":[174],"data":[175],"sets":[176],"have":[177],"demonstrated":[178],"effectiveness":[180],"method.":[184],"comparison,":[187],"find":[189],"retrieval":[192],"performance":[193],"MultiVCRank":[195],"substantially":[197],"better":[198],"than":[199],"those":[200],"HypergraphRank,":[202],"ManifoldRank,":[203],"TOPHITS,":[204],"RankSVM.":[206]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}