{"id":"https://openalex.org/W1972120981","doi":"https://doi.org/10.1145/1816041.1816060","title":"Multi-label learning by Image-to-Class distance for scene classification and image annotation","display_name":"Multi-label learning by Image-to-Class distance for scene classification and image annotation","publication_year":2010,"publication_date":"2010-07-05","ids":{"openalex":"https://openalex.org/W1972120981","doi":"https://doi.org/10.1145/1816041.1816060","mag":"1972120981"},"language":"en","primary_location":{"id":"doi:10.1145/1816041.1816060","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1816041.1816060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM International Conference on Image and Video Retrieval","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/A5103193968","display_name":"Zhengxiang Wang","orcid":"https://orcid.org/0009-0003-3292-6043"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Zhengxiang Wang","raw_affiliation_strings":["Nanyang Technological University, Singapore","Nanyang Technological University (Singapore)"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University (Singapore)","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102837904","display_name":"Yiqun Hu","orcid":"https://orcid.org/0000-0001-9157-7865"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yiqun Hu","raw_affiliation_strings":["Nanyang Technological University, Singapore","Nanyang Technological University (Singapore)"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University (Singapore)","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110091686","display_name":"Liang-Tien Chia","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Liang-Tien Chia","raw_affiliation_strings":["Nanyang Technological University, Singapore","Nanyang Technological University (Singapore)"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University (Singapore)","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103193968"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.9391,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79723194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9980000257492065,"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":0.9954000115394592,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6994401216506958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6962976455688477},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.664912223815918},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.6578467488288879},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6454728841781616},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6253931522369385},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6061590313911438},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5611506700515747},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.49902963638305664},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48358863592147827},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4404866695404053},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4305679500102997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42575913667678833},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42514508962631226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3281920850276947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20971885323524475}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6994401216506958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6962976455688477},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.664912223815918},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.6578467488288879},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6454728841781616},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6253931522369385},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6061590313911438},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5611506700515747},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.49902963638305664},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48358863592147827},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4404866695404053},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4305679500102997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42575913667678833},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42514508962631226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3281920850276947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20971885323524475},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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:10.1145/1816041.1816060","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1816041.1816060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM International Conference on Image and Video Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/2d123ca1-fd5c-4bdc-b116-270cec024263","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/2d123ca1-fd5c-4bdc-b116-270cec024263","pdf_url":null,"source":{"id":"https://openalex.org/S4306402492","display_name":"UWA Profiles and Research Repository (UWA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hu, Y, Wang, Z & Chia, L-T 2010, Multi-Label Learning By Image-To-Class Distance With Applications To Scene Classification and Image Annotati. in CIVR '10 Proceedings of the ACM International Conference on Image and Video Retrieval. vol. -, Association for Computing Machinery (ACM), New York, NY, USA, pp. 105-112, Multi-Label Learning By Image-To-Class Distance With Applications To Scene Classification and Image Annotati, 1/01/10. https://doi.org/10.1145/1816041.1816060","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W216283022","https://openalex.org/W1999182238","https://openalex.org/W2002493648","https://openalex.org/W2052684427","https://openalex.org/W2053463056","https://openalex.org/W2099669741","https://openalex.org/W2101825085","https://openalex.org/W2104403048","https://openalex.org/W2118712128","https://openalex.org/W2121625657","https://openalex.org/W2129156852","https://openalex.org/W2133510502","https://openalex.org/W2135533176","https://openalex.org/W2147486662","https://openalex.org/W2151103935","https://openalex.org/W2156336347","https://openalex.org/W2156637418","https://openalex.org/W2156935079","https://openalex.org/W2162915993","https://openalex.org/W2164736477","https://openalex.org/W2166742463","https://openalex.org/W2182822465","https://openalex.org/W2526468814","https://openalex.org/W2539511637","https://openalex.org/W2990138404","https://openalex.org/W3148714641","https://openalex.org/W4237080436","https://openalex.org/W4255540942"],"related_works":["https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2076896210","https://openalex.org/W2093596879","https://openalex.org/W2384288472","https://openalex.org/W1539573266","https://openalex.org/W2376984068","https://openalex.org/W2201969175","https://openalex.org/W2747088704","https://openalex.org/W2087793626"],"abstract_inverted_index":{"In":[0,33],"multi-label":[1,39,64,191],"learning,":[2],"an":[3,25],"image":[4,26,53,166],"containing":[5],"multiple":[6,12],"objects":[7],"can":[8],"be":[9,99],"assigned":[10,28],"to":[11,29,60,71,94,98,105,140,189],"labels,":[13],"which":[14,47],"makes":[15],"it":[16,78],"more":[17],"challenging":[18],"than":[19,102],"traditional":[20],"multi-class":[21],"classification":[22,163],"task":[23],"where":[24],"is":[27,48,156],"only":[30],"one":[31],"label.":[32],"this":[34,57,124,150],"paper,":[35],"we":[36,88,134],"propose":[37],"a":[38,68,80,113,130],"learning":[40,67,192],"framework":[41,128],"based":[42],"on":[43],"Image-to-Class":[44],"(I2C)":[45],"distance,":[46],"recently":[49],"shown":[50],"useful":[51],"for":[52,62,129,145],"classification.":[54],"We":[55],"adjust":[56],"I2C":[58,92,126],"distance":[59,93,104,127],"cater":[61],"the":[63,95,110,116,136,142,147,159,170],"problem":[65],"by":[66,109],"weight":[69],"attached":[70],"each":[72,86],"local":[73],"feature":[74],"patch":[75],"and":[76,164,174],"formulating":[77],"into":[79],"large":[81],"margin":[82,114],"optimization":[83,117],"problem.":[84,118],"For":[85],"image,":[87],"constrain":[89],"its":[90,103],"weighted":[91],"relevant":[96],"class":[97],"much":[100],"less":[101],"other":[106],"irrelevant":[107],"class,":[108],"use":[111],"of":[112,149,161,185],"in":[115,158],"Label":[119],"ranks":[120],"are":[121],"generated":[122],"under":[123],"learned":[125],"query":[131,151],"image.":[132,152],"Thereafter,":[133],"employ":[135],"label":[137,143],"correlation":[138],"information":[139],"split":[141],"rank":[144],"predicting":[146],"label(s)":[148],"The":[153],"proposed":[154],"method":[155,187],"evaluated":[157],"applications":[160],"scene":[162,172],"automatic":[165],"annotation":[167],"using":[168],"both":[169],"natural":[171],"dataset":[173],"Microsoft":[175],"Research":[176],"Cambridge":[177],"(MSRC)":[178],"dataset.":[179],"Experiment":[180],"results":[181],"show":[182],"better":[183],"performance":[184],"our":[186],"compared":[188],"previous":[190],"algorithms.":[193]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}