{"id":"https://openalex.org/W2133128938","doi":"https://doi.org/10.1109/iccv.2011.6126300","title":"Correlative multi-label multi-instance image annotation","display_name":"Correlative multi-label multi-instance image annotation","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2133128938","doi":"https://doi.org/10.1109/iccv.2011.6126300","mag":"2133128938"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2011.6126300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","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/A5003418019","display_name":"Xiangyang Xue","orcid":"https://orcid.org/0000-0002-4897-9209"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyang Xue","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100710906","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-9321-6411"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436697","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-1028-6765"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034076483","display_name":"Bin Wu","orcid":"https://orcid.org/0000-0003-2755-6706"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wu","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110793275","display_name":"Jianping Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianping Fan","raw_affiliation_strings":["Department of Computer Science, UNC, Charlotte, NC, USA","Department of Computer Science, UNC-Charlotte, NC28223, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, UNC, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"Department of Computer Science, UNC-Charlotte, NC28223, USA#TAB#","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102831128","display_name":"Yao Lu","orcid":"https://orcid.org/0000-0002-3147-2081"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Lu","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5003418019"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":1.5695,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.86417055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"651","last_page":"658"},"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":0.9987000226974487,"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":0.9976000189781189,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7071436643600464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.701765775680542},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6716880798339844},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.6545976400375366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6488486528396606},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.5080025792121887},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.48530644178390503},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.48064935207366943},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.47859713435173035},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4781300127506256},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46733152866363525},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4623353183269501},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.425836980342865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3625801205635071},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.3446385860443115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2899242639541626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1967865526676178}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7071436643600464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.701765775680542},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6716880798339844},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.6545976400375366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6488486528396606},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.5080025792121887},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.48530644178390503},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.48064935207366943},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.47859713435173035},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4781300127506256},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46733152866363525},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4623353183269501},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.425836980342865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3625801205635071},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.3446385860443115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2899242639541626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1967865526676178},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2011.6126300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.715.8473","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.715.8473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://homes.cs.washington.edu/%7Eluyao/iccv11anno.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/W186419298","https://openalex.org/W1484228140","https://openalex.org/W1567069331","https://openalex.org/W1666447063","https://openalex.org/W1877469910","https://openalex.org/W1988871282","https://openalex.org/W1998839399","https://openalex.org/W1999478155","https://openalex.org/W2011890309","https://openalex.org/W2025702452","https://openalex.org/W2052684427","https://openalex.org/W2069808690","https://openalex.org/W2072768184","https://openalex.org/W2095844239","https://openalex.org/W2098708428","https://openalex.org/W2101504600","https://openalex.org/W2104019579","https://openalex.org/W2110075577","https://openalex.org/W2112301665","https://openalex.org/W2118712128","https://openalex.org/W2121947440","https://openalex.org/W2129004009","https://openalex.org/W2135533176","https://openalex.org/W2135596962","https://openalex.org/W2140000690","https://openalex.org/W2143854982","https://openalex.org/W2147196093","https://openalex.org/W2156336347","https://openalex.org/W2164736477","https://openalex.org/W2165232124","https://openalex.org/W2168975192","https://openalex.org/W2295624200","https://openalex.org/W2429914308","https://openalex.org/W2536305071","https://openalex.org/W4242942322","https://openalex.org/W6629341703","https://openalex.org/W6637249095","https://openalex.org/W6639286751","https://openalex.org/W6668619392","https://openalex.org/W6674793120","https://openalex.org/W6674899996","https://openalex.org/W6677945368","https://openalex.org/W6680087646","https://openalex.org/W6680102115","https://openalex.org/W6684350518","https://openalex.org/W6697398391"],"related_works":["https://openalex.org/W2376984068","https://openalex.org/W2506386910","https://openalex.org/W2117928543","https://openalex.org/W2123147980","https://openalex.org/W2066590080","https://openalex.org/W2076842684","https://openalex.org/W2918350319","https://openalex.org/W2513891871","https://openalex.org/W1539573266","https://openalex.org/W4387423606"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"each":[3],"image":[4,29,55,85,170,192],"is":[5,17,23,123,156],"viewed":[6],"as":[7,13,15],"a":[8,67],"bag":[9],"of":[10,70,200],"local":[11],"regions,":[12],"well":[14],"it":[16],"investigated":[18],"globally.":[19],"A":[20],"novel":[21],"method":[22],"developed":[24],"for":[25,144],"achieving":[26],"multi-label":[27],"multi-instance":[28],"annotation,":[30],"where":[31],"image-level":[32,141],"(bag-level)":[33],"labels":[34,38,82,89,167],"and":[35,47,57,87,99,108,130,168,185,195],"region-level":[36,149],"(instance-level)":[37],"are":[39,50,64,113,134,176],"both":[40,52,182],"obtained.":[41],"The":[42,73,94],"associations":[43,95],"between":[44,80,96,163,183,186],"semantic":[45,100],"concepts":[46],"visual":[48,97],"features":[49,98],"mined":[51],"at":[53,58,83,90],"the":[54,59,78,81,84,88,91,102,105,109,127,139,145,148,153,161,164,169,180,198],"level":[56,86],"region":[60,92],"level.":[61,93],"Inter-label":[62],"correlations":[63,103],"captured":[65],"by":[66,159],"co-occurence":[68],"matrix":[69],"concept":[71],"pairs.":[72],"cross-level":[74,110],"label":[75,111,150],"coherence":[76,112],"encodes":[77],"consistency":[79],"concepts,":[101],"among":[104],"multiple":[106,131,165],"labels,":[107],"sufficiently":[114],"leveraged":[115],"to":[116,125,178],"improve":[117],"annotation":[118],"performance.":[119],"Structural":[120],"max-margin":[121],"technique":[122],"used":[124],"formulate":[126],"proposed":[128],"model":[129,146],"interrelated":[132],"classifiers":[133],"learned":[135],"jointly.":[136],"To":[137],"leverage":[138],"available":[140],"labeled":[142],"samples":[143],"training,":[147],"identification":[151],"on":[152,190],"training":[154],"set":[155],"firstly":[157],"accomplished":[158],"building":[160],"correspondences":[162],"bag-level":[166],"regions.":[171,187],"JEC":[172],"distance":[173],"based":[174],"kernels":[175],"employed":[177],"measure":[179],"similarities":[181],"images":[184],"Experimental":[188],"results":[189],"real":[191],"datasets":[193],"MSRC":[194],"Corel":[196],"demonstrate":[197],"effectiveness":[199],"our":[201],"method.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
