{"id":"https://openalex.org/W2156637418","doi":"https://doi.org/10.1109/cvpr.2009.5206866","title":"Multi-label sparse coding for automatic image annotation","display_name":"Multi-label sparse coding for automatic image annotation","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2156637418","doi":"https://doi.org/10.1109/cvpr.2009.5206866","mag":"2156637418"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206866","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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/A5055085354","display_name":"Changhu Wang","orcid":"https://orcid.org/0000-0001-8373-2597"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Changhu Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore","MOE-MS Key Laboratory of MCC, University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"MOE-MS Key Laboratory of MCC, University of Science and Technology, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuicheng Yan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"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":"Lei Zhang","raw_affiliation_strings":["Microsoft Research Asia, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397026","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0003-1991-119X"},"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":"Hong-Jiang Zhang","raw_affiliation_strings":["Microsoft Advanced Technology Center, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Advanced Technology Center, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055085354"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":6.7184,"has_fulltext":false,"cited_by_count":213,"citation_normalized_percentile":{"value":0.96708558,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1643","last_page":"1650"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9968000054359436,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.7798631191253662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7161542177200317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6568201184272766},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6048010587692261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6031100749969482},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.573479175567627},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.5577596426010132},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5251516699790955},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.52015620470047},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4200384318828583},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3787873387336731},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15711185336112976}],"concepts":[{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7798631191253662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7161542177200317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6568201184272766},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6048010587692261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6031100749969482},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.573479175567627},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.5577596426010132},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5251516699790955},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.52015620470047},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4200384318828583},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3787873387336731},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15711185336112976},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2009.5206866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206866","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.154.2930","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.2930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sites.google.com/site/changhuwang/home/cvpr09-msc-wang.pdf?attredirects=0","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.352.6706","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.352.6706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lv-nus.org/papers/2009/2009_C_13.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/W1666447063","https://openalex.org/W2020842694","https://openalex.org/W2029295509","https://openalex.org/W2037407504","https://openalex.org/W2038854792","https://openalex.org/W2041823554","https://openalex.org/W2043196868","https://openalex.org/W2049633694","https://openalex.org/W2050834445","https://openalex.org/W2053186076","https://openalex.org/W2090854212","https://openalex.org/W2102331633","https://openalex.org/W2104687512","https://openalex.org/W2113336886","https://openalex.org/W2121647436","https://openalex.org/W2125238156","https://openalex.org/W2127411609","https://openalex.org/W2129812935","https://openalex.org/W2133510502","https://openalex.org/W2137918516","https://openalex.org/W2144407188","https://openalex.org/W2148694408","https://openalex.org/W2150692003","https://openalex.org/W2156336347","https://openalex.org/W2283195891","https://openalex.org/W2532338691","https://openalex.org/W4248892431","https://openalex.org/W4285719527","https://openalex.org/W4292023222","https://openalex.org/W6637249095","https://openalex.org/W6657575811","https://openalex.org/W6675450563","https://openalex.org/W6676917853","https://openalex.org/W6678852649","https://openalex.org/W6682458996","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2119028572","https://openalex.org/W2376984068","https://openalex.org/W2152482390","https://openalex.org/W2365617273","https://openalex.org/W2076896210","https://openalex.org/W2093596879","https://openalex.org/W2506386910","https://openalex.org/W2117928543"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,28,43],"multi-label":[6,56,67,110],"sparse":[7,45,63,85,111],"coding":[8,46,64,112],"framework":[9,113],"for":[10,58,66],"feature":[11],"extraction":[12],"and":[13,99],"classification":[14],"within":[15],"the":[16,33,62,73,76,80,84,97,104,108,115],"context":[17],"of":[18,75,107],"automatic":[19],"image":[20,24,40,82,93],"annotation.":[21],"First,":[22],"each":[23],"is":[25,51,69],"encoded":[26],"into":[27],"so-called":[29],"supervector,":[30],"derived":[31,52],"from":[32],"universal":[34],"Gaussian":[35],"Mixture":[36],"Models":[37],"on":[38,96],"orderless":[39],"patches.":[41],"Then,":[42],"label":[44],"based":[47],"subspace":[48],"learning":[49],"algorithm":[50],"to":[53,71,79],"effectively":[54],"harness":[55],"information":[57],"dimensionality":[59],"reduction.":[60],"Finally,":[61],"method":[65],"data":[68],"proposed":[70,109],"propagate":[72],"multi-labels":[74],"training":[77],"images":[78],"query":[81],"with":[83],"\u2113":[86],"<sup":[87],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[88],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[89],"reconstruction":[90],"coefficients.":[91],"Extensive":[92],"annotation":[94],"experiments":[95],"Corel5k":[98],"Corel30k":[100],"databases":[101],"both":[102],"show":[103],"superior":[105],"performance":[106],"over":[114],"state-of-the-art":[116],"algorithms.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":19},{"year":2015,"cited_by_count":27},{"year":2014,"cited_by_count":23},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":23}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
