{"id":"https://openalex.org/W2038641898","doi":"https://doi.org/10.1109/mmsp.2010.5662072","title":"A Bayesian image annotation framework integrating search and context","display_name":"A Bayesian image annotation framework integrating search and context","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2038641898","doi":"https://doi.org/10.1109/mmsp.2010.5662072","mag":"2038641898"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2010.5662072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2010.5662072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Workshop on Multimedia Signal Processing","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/A5064510205","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0001-7767-7413"},"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":"Rui Zhang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical & Electronic Engineering, Nanyang Technological University#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Nanyang Technological University#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029039334","display_name":"Kui Wu","orcid":"https://orcid.org/0000-0002-6857-7231"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kui Wu","raw_affiliation_strings":["Ryerson Multimedia Laboratory, Ryerson University, Canada","Ryerson Multimedia Lab, Ryerson University, Canada"],"affiliations":[{"raw_affiliation_string":"Ryerson Multimedia Laboratory, Ryerson University, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Ryerson Multimedia Lab, Ryerson University, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022468480","display_name":"Kim\u2013Hui Yap","orcid":"https://orcid.org/0000-0003-1933-4986"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kim-Hui Yap","raw_affiliation_strings":["Ryerson Multimedia Laboratory, Ryerson University, Canada","Ryerson Multimedia Lab, Ryerson University, Canada"],"affiliations":[{"raw_affiliation_string":"Ryerson Multimedia Laboratory, Ryerson University, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Ryerson Multimedia Lab, Ryerson University, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001287866","display_name":"Ling Guan","orcid":"https://orcid.org/0000-0002-2681-2504"},"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":"Ling Guan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical & Electronic Engineering, Nanyang Technological University#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Nanyang Technological University#TAB#","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064510205"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12180677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"23","issue":null,"first_page":"499","last_page":"504"},"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":0.9998000264167786,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7718634605407715},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6043469309806824},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.59135502576828},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5835142135620117},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5790677666664124},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5568203926086426},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5356860160827637},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5242764353752136},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.5198267102241516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5180901885032654},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4838603734970093},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4764164686203003},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4356447756290436},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36997371912002563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33669179677963257},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12876492738723755},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0636548399925232},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05804702639579773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7718634605407715},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6043469309806824},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.59135502576828},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5835142135620117},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5790677666664124},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5568203926086426},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5356860160827637},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5242764353752136},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.5198267102241516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5180901885032654},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4838603734970093},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4764164686203003},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4356447756290436},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36997371912002563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33669179677963257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12876492738723755},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0636548399925232},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05804702639579773},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2010.5662072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2010.5662072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Workshop on Multimedia Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W32343552","https://openalex.org/W1666447063","https://openalex.org/W2016188600","https://openalex.org/W2020842694","https://openalex.org/W2036167211","https://openalex.org/W2036718463","https://openalex.org/W2081293863","https://openalex.org/W2098355199","https://openalex.org/W2106962004","https://openalex.org/W2107034620","https://openalex.org/W2112620876","https://openalex.org/W2121947440","https://openalex.org/W2123241287","https://openalex.org/W2124351162","https://openalex.org/W2125574651","https://openalex.org/W2128197086","https://openalex.org/W2133598579","https://openalex.org/W2134927309","https://openalex.org/W2134930802","https://openalex.org/W2137918516","https://openalex.org/W2139212933","https://openalex.org/W2145607950","https://openalex.org/W2151322733","https://openalex.org/W2163490908","https://openalex.org/W2166761907","https://openalex.org/W2172191903","https://openalex.org/W2181691731","https://openalex.org/W2283195891","https://openalex.org/W4248211480","https://openalex.org/W4248892431","https://openalex.org/W4285719527","https://openalex.org/W6637249095","https://openalex.org/W6674646328","https://openalex.org/W6678865028","https://openalex.org/W6682239955","https://openalex.org/W7011438494","https://openalex.org/W7075742223"],"related_works":["https://openalex.org/W2566406229","https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2119028572","https://openalex.org/W2152482390","https://openalex.org/W2376984068","https://openalex.org/W2076896210","https://openalex.org/W2365617273","https://openalex.org/W2506386910","https://openalex.org/W2117928543"],"abstract_inverted_index":{"Conventional":[0],"approaches":[1],"to":[2,37,51,96,137],"image":[3,53,76,120],"annotation":[4],"tackle":[5],"the":[6,10,15,18,21,25,57,78,93,98,103,111,116],"problem":[7],"based":[8],"on":[9,20],"low-level":[11],"visual":[12,117,139],"information.":[13],"Considering":[14],"importance":[16],"of":[17,102,119],"information":[19,33],"constrained":[22],"interaction":[23],"among":[24],"objects":[26],"in":[27,89],"a":[28,48,63,83,99,107,112],"real":[29],"world":[30],"scene,":[31],"contextual":[32],"has":[34],"been":[35],"utilized":[36],"recognize":[38],"scene":[39],"and":[40,60,115,129,141],"object":[41,104],"categories.":[42,105],"In":[43],"this":[44],"paper,":[45],"we":[46],"propose":[47],"Bayesian":[49,108],"approach":[50],"region-based":[52],"annotation,":[54],"which":[55,87,133],"integrates":[56,110],"content-based":[58,67,140],"search":[59,68],"context":[61,94],"into":[62],"unified":[64],"framework.":[65],"The":[66,122],"selects":[69],"representative":[70],"keywords":[71],"by":[72,82,92],"matching":[73],"an":[74],"unlabeled":[75],"with":[77],"labeled":[79],"ones":[80],"followed":[81],"weighted":[84],"keyword":[85],"ranking,":[86],"are":[88],"turn":[90],"used":[91],"model":[95],"calculate":[97],"prior":[100],"probabilities":[101,114],"Finally,":[106],"framework":[109,123],"priori":[113],"properties":[118],"regions.":[121],"was":[124],"evaluated":[125],"using":[126],"two":[127],"databases":[128],"several":[130],"performance":[131],"measures,":[132],"demonstrated":[134],"its":[135],"superiority":[136],"both":[138],"context-based":[142],"approaches.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
