{"id":"https://openalex.org/W2025051526","doi":"https://doi.org/10.1109/cvpr.2010.5540036","title":"Automatic image annotation using group sparsity","display_name":"Automatic image annotation using group sparsity","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2025051526","doi":"https://doi.org/10.1109/cvpr.2010.5540036","mag":"2025051526"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5540036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society 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/A5066553616","display_name":"Shaoting Zhang","orcid":"https://orcid.org/0000-0002-8719-448X"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shaoting Zhang","raw_affiliation_strings":["Department of Computer Science, Rutgers University, Piscataway, NJ, USA","Dept of Computer Science, Rutgers University, Piscataway, NJ 08854"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept of Computer Science, Rutgers University, Piscataway, NJ 08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068865316","display_name":"Junzhou Huang","orcid":"https://orcid.org/0000-0002-9548-1227"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junzhou Huang","raw_affiliation_strings":["Department of Computer Science, Rutgers University, Piscataway, NJ, USA","Dept of Computer Science, Rutgers University, Piscataway, NJ 08854"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept of Computer Science, Rutgers University, Piscataway, NJ 08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102101230","display_name":"Yuchi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuchi Huang","raw_affiliation_strings":["Department of Computer Science, Rutgers University, Piscataway, NJ, USA","Dept of Computer Science, Rutgers University, Piscataway, NJ 08854"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept of Computer Science, Rutgers University, Piscataway, NJ 08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101881859","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0003-3267-5187"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Yu","raw_affiliation_strings":["Department of Computer Science, Rutgers University, Piscataway, NJ, USA","Dept of Computer Science, Rutgers University, Piscataway, NJ 08854"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept of Computer Science, Rutgers University, Piscataway, NJ 08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732450","display_name":"Hongsheng Li","orcid":"https://orcid.org/0000-0002-2664-7975"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongsheng Li","raw_affiliation_strings":["Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA","[Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, 18015]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"[Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, 18015]","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109600054","display_name":"Dimitris Metaxas","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris N. Metaxas","raw_affiliation_strings":["Department of Computer Science, Rutgers University, Piscataway, NJ, USA","Dept of Computer Science, Rutgers University, Piscataway, NJ 08854"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept of Computer Science, Rutgers University, Piscataway, NJ 08854","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066553616"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":21.0112,"has_fulltext":false,"cited_by_count":176,"citation_normalized_percentile":{"value":0.99588848,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3312","last_page":"3319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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":0.9911999702453613,"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/computer-science","display_name":"Computer science","score":0.7645925283432007},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7297141551971436},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6857854723930359},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6417557001113892},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6216754913330078},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5981400609016418},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.5885639786720276},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5683743953704834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5534666180610657},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5498577952384949},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4901798367500305},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48704245686531067},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46858900785446167},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.431837797164917},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37967056035995483}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645925283432007},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7297141551971436},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6857854723930359},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6417557001113892},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6216754913330078},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5981400609016418},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.5885639786720276},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5683743953704834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534666180610657},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5498577952384949},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4901798367500305},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48704245686531067},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46858900785446167},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.431837797164917},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37967056035995483},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2010.5540036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.231.3712","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.3712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.rutgers.edu/%7Eshaoting/paper/CVPR10_group_sparsity.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.678.5220","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.678.5220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ranger.uta.edu/%7Ehuang/papers/CVPR10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W84046028","https://openalex.org/W114341944","https://openalex.org/W1484654248","https://openalex.org/W1495177430","https://openalex.org/W1666447063","https://openalex.org/W1877469910","https://openalex.org/W2004646046","https://openalex.org/W2053306114","https://openalex.org/W2063049279","https://openalex.org/W2077964948","https://openalex.org/W2087544865","https://openalex.org/W2111993661","https://openalex.org/W2116294498","https://openalex.org/W2123241287","https://openalex.org/W2125238156","https://openalex.org/W2127411609","https://openalex.org/W2133566592","https://openalex.org/W2135046866","https://openalex.org/W2137918516","https://openalex.org/W2138019504","https://openalex.org/W2138621090","https://openalex.org/W2144935315","https://openalex.org/W2146103513","https://openalex.org/W2151103935","https://openalex.org/W2156336347","https://openalex.org/W2159514083","https://openalex.org/W2161969291","https://openalex.org/W2162762921","https://openalex.org/W2162867699","https://openalex.org/W2165644552","https://openalex.org/W2165828254","https://openalex.org/W2181691731","https://openalex.org/W2283195891","https://openalex.org/W2536305071","https://openalex.org/W2538773003","https://openalex.org/W4285719527","https://openalex.org/W6629749147","https://openalex.org/W6637249095","https://openalex.org/W6639286751","https://openalex.org/W6669826363","https://openalex.org/W6678852649","https://openalex.org/W6680962578","https://openalex.org/W6683870348","https://openalex.org/W6684671274","https://openalex.org/W6728784960","https://openalex.org/W7011438494"],"related_works":["https://openalex.org/W2376984068","https://openalex.org/W2093596879","https://openalex.org/W2797493659","https://openalex.org/W4210419990","https://openalex.org/W1516905859","https://openalex.org/W4220875956","https://openalex.org/W2540996540","https://openalex.org/W2165935981","https://openalex.org/W1992429311","https://openalex.org/W2053084640"],"abstract_inverted_index":{"Automatically":[0],"assigning":[1],"relevant":[2],"text":[3],"keywords":[4],"to":[5,58,72,96,125],"images":[6],"is":[7,48,93,115,168],"an":[8],"important":[9,51],"problem.":[10],"Many":[11],"algorithms":[12],"have":[13,25,36],"been":[14,38],"proposed":[15,95],"in":[16,117,153],"the":[17,75,86,105,109,118,127,141,149,154,163],"past":[18],"decade":[19],"and":[20,77,82,100,108,133,171],"achieved":[21],"good":[22],"performance.":[23],"Efforts":[24],"focused":[26],"upon":[27],"model":[28],"representations":[29],"of":[30,34,46,80,151],"keywords,":[31],"but":[32],"properties":[33,53,79,150],"features":[35,47,152],"not":[37,55],"well":[39,56],"investigated.":[40],"In":[41,61],"most":[42],"cases,":[43],"a":[44,66],"group":[45,164],"preselected,":[49],"yet":[50],"feature":[52,69,131,136],"are":[54,123],"used":[57],"select":[59],"features.":[60],"this":[62],"paper,":[63],"we":[64],"introduce":[65],"regularization":[67,134],"based":[68,135,166],"selection":[70,137],"algorithm":[71],"leverage":[73],"both":[74,104],"sparsity":[76,165],"clustering":[78],"features,":[81,130],"incorporate":[83],"it":[84],"into":[85,148],"image":[87,142,155],"annotation":[88,119,143,156],"task.":[89,157],"A":[90],"novel":[91],"approach":[92],"also":[94],"iteratively":[97],"obtain":[98],"similar":[99],"dissimilar":[101],"pairs":[102],"from":[103],"keyword":[106,113],"similarity":[107,114],"relevance":[110],"feedback.":[111],"Thus":[112],"modeled":[116],"framework.":[120],"Numerous":[121],"experiments":[122],"designed":[124],"compare":[126],"performance":[128],"between":[129],"combinations":[132],"methods":[138],"applied":[139],"on":[140],"task,":[144],"which":[145],"gives":[146],"insight":[147],"The":[158],"experimental":[159],"results":[160],"demonstrate":[161],"that":[162],"method":[167],"more":[169],"accurate":[170],"stable":[172],"than":[173],"others.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":22},{"year":2014,"cited_by_count":29},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":29}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}