{"id":"https://openalex.org/W2029257328","doi":"https://doi.org/10.1109/tmm.2013.2284755","title":"Exploiting Click Constraints and Multi-view Features for Image Re-ranking","display_name":"Exploiting Click Constraints and Multi-view Features for Image Re-ranking","publication_year":2013,"publication_date":"2013-10-07","ids":{"openalex":"https://openalex.org/W2029257328","doi":"https://doi.org/10.1109/tmm.2013.2284755","mag":"2029257328"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2013.2284755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2013.2284755","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/A5050817770","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-1922-7283"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Yu","raw_affiliation_strings":["The Department of Computer Science, Xiamen University, Xiamen, China","Department of Computer Science, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"The Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728762","display_name":"Yong Rui","orcid":"https://orcid.org/0000-0002-9142-5914"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Rui","raw_affiliation_strings":["Microsoft Research Asia, Peking, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Peking, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100427434","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0003-3750-2533"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["Microsoft Research Asia, Peking, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Peking, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050817770"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":20.6842,"has_fulltext":false,"cited_by_count":172,"citation_normalized_percentile":{"value":0.99494273,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"16","issue":"1","first_page":"159","last_page":"168"},"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":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.996399998664856,"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":0.8241767287254333},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7428216338157654},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.689458966255188},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6190746426582336},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.6155747771263123},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5973943471908569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5217862129211426},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4907475411891937},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4893297553062439},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4786073863506317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4568950831890106},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4194173514842987},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3764404356479645},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.2935088872909546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10667568445205688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8241767287254333},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7428216338157654},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.689458966255188},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6190746426582336},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6155747771263123},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5973943471908569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5217862129211426},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4907475411891937},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4893297553062439},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4786073863506317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4568950831890106},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4194173514842987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3764404356479645},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.2935088872909546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10667568445205688},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2013.2284755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2013.2284755","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":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1501206914","https://openalex.org/W2001141328","https://openalex.org/W2006904655","https://openalex.org/W2008183828","https://openalex.org/W2021003221","https://openalex.org/W2024082504","https://openalex.org/W2035821475","https://openalex.org/W2047221353","https://openalex.org/W2050594997","https://openalex.org/W2052575990","https://openalex.org/W2053186076","https://openalex.org/W2069870183","https://openalex.org/W2094579227","https://openalex.org/W2097308346","https://openalex.org/W2108013467","https://openalex.org/W2114552890","https://openalex.org/W2117513046","https://openalex.org/W2118509786","https://openalex.org/W2121175492","https://openalex.org/W2132822263","https://openalex.org/W2135645798","https://openalex.org/W2137675680","https://openalex.org/W2143166796","https://openalex.org/W2147007902","https://openalex.org/W2149427297","https://openalex.org/W2152756885","https://openalex.org/W2153783077","https://openalex.org/W2154455818","https://openalex.org/W2154624311","https://openalex.org/W2156160882","https://openalex.org/W2160555926","https://openalex.org/W2162852363","https://openalex.org/W2166168249","https://openalex.org/W2168955003","https://openalex.org/W2170057991","https://openalex.org/W4254926608","https://openalex.org/W6682494755","https://openalex.org/W6683123586","https://openalex.org/W6684520015"],"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/W2472555608","https://openalex.org/W4376608938","https://openalex.org/W4378713479","https://openalex.org/W57020078"],"abstract_inverted_index":{"Image":[0],"re-ranking":[1,15,146,172],"is":[2,23,39,110],"effective":[3],"in":[4],"improving":[5],"performance":[6],"of":[7,29,141],"text-based":[8],"image":[9,171],"searches.":[10],"However,":[11],"improvements":[12],"from":[13,89,100,121],"existing":[14],"algorithms":[16],"are":[17,148],"limited":[18],"by":[19],"two":[20],"factors:":[21],"one":[22],"that":[24,40,73,167],"the":[25,37,47,61,128,145,164],"associated":[26],"textual":[27],"information":[28],"images":[30,95,101],"often":[31],"mismatches":[32],"their":[33],"actual":[34],"visual":[35,80,123,132],"contents;":[36],"other":[38],"a":[41,66,107],"visual's":[42],"features":[43],"cannot":[44],"accurately":[45],"describe":[46],"semantic":[48,62,108,129],"similarities":[49],"between":[50],"images.":[51],"In":[52,82],"this":[53,153],"paper,":[54],"we":[55],"adopt":[56],"click":[57,76,90,98,104],"data":[58,77,91],"to":[59,92,117],"bridge":[60],"gap.":[63],"We":[64,156],"propose":[65],"novel":[67],"multi-view":[68],"hypergraph-based":[69],"learning":[70,116],"(MHL)":[71],"method":[72],"adaptively":[74],"integrates":[75,127],"with":[78,96,102,131],"varied":[79,122],"features.":[81,124],"particular,":[83],"MHL":[84,126,168],"considers":[85],"pairwise":[86],"discriminative":[87],"constraints":[88],"maximally":[93],"distinguish":[94],"high":[97],"counts":[99],"no":[103],"counts,":[105],"and":[106,144,163],"manifold":[109,130],"constructed.":[111],"It":[112],"then":[113],"adopts":[114],"hypergraph":[115],"build":[118],"multiple":[119],"manifolds":[120,133,143],"Finally,":[125],"through":[134],"an":[135],"iterative":[136],"optimization":[137,154],"procedure.":[138],"The":[139],"weights":[140],"different":[142],"score":[147],"simultaneously":[149],"obtained":[150],"after":[151],"using":[152],"strategy.":[155],"conduct":[157],"experiments":[158],"on":[159],"real":[160],"world":[161],"datasets":[162],"results":[165],"demonstrate":[166],"outperforms":[169],"state-of-the-art":[170],"methods.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":24},{"year":2016,"cited_by_count":29},{"year":2015,"cited_by_count":23},{"year":2014,"cited_by_count":24}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
