{"id":"https://openalex.org/W4407638209","doi":"https://doi.org/10.1109/tmm.2025.3542962","title":"Robust Visual Food Recognition for Enriching Nutrition Knowledge Bases","display_name":"Robust Visual Food Recognition for Enriching Nutrition Knowledge Bases","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407638209","doi":"https://doi.org/10.1109/tmm.2025.3542962"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3542962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3542962","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5017748295","display_name":"Zhaoyan Ming","orcid":"https://orcid.org/0000-0002-6766-4579"},"institutions":[{"id":"https://openalex.org/I4400573310","display_name":"Hangzhou City University","ror":"https://ror.org/01wck0s05","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573310"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Zhaoyan Ming","raw_affiliation_strings":["School of Computer and Computing, Hangzhou City University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6766-4579","affiliations":[{"raw_affiliation_string":"School of Computer and Computing, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I4400573310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000223918","display_name":"Zeyu Xie","orcid":"https://orcid.org/0009-0001-9546-3301"},"institutions":[{"id":"https://openalex.org/I4400573310","display_name":"Hangzhou City University","ror":"https://ror.org/01wck0s05","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573310"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Zeyu Xie","raw_affiliation_strings":["School of Computer and Computing, Hangzhou City University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Computing, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I4400573310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460272","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0003-3009-598X"},"institutions":[{"id":"https://openalex.org/I4210112475","display_name":"Shenwu Technology Group Corp (China)","ror":"https://ror.org/01ef25a22","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210112475"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Beijing Zuoyi Technology Company Ltd., Beijing, China","Beijing Zuoyi Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Zuoyi Technology Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210112475"]},{"raw_affiliation_string":"Beijing Zuoyi Technology Co., Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kui Su","orcid":"https://orcid.org/0000-0002-7152-7841"},"institutions":[{"id":"https://openalex.org/I4400573310","display_name":"Hangzhou City University","ror":"https://ror.org/01wck0s05","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573310"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Kui Su","raw_affiliation_strings":["School of Computer and Computing, Hangzhou City University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7152-7841","affiliations":[{"raw_affiliation_string":"School of Computer and Computing, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I4400573310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037013675","display_name":"Changzheng Yuan","orcid":"https://orcid.org/0000-0002-2389-8752"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changzheng Yuan","raw_affiliation_strings":["School of Public Health, Zhejiang University School of Medicine, Hangzhou, China","School of Public Health, Zhejiang University School of Medicine, China"],"raw_orcid":"https://orcid.org/0000-0002-2389-8752","affiliations":[{"raw_affiliation_string":"School of Public Health, Zhejiang University School of Medicine, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Public Health, Zhejiang University School of Medicine, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"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":"Tat-Seng Chua","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-6097-7807","affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5017748295"],"corresponding_institution_ids":["https://openalex.org/I4400573310","https://openalex.org/I6469544"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01754741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"2825","last_page":"2835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9010000228881836,"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":0.9010000228881836,"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/computer-science","display_name":"Computer science","score":0.8076512813568115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4178812503814697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3745992183685303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076512813568115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4178812503814697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3745992183685303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3542962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3542962","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.8100000023841858,"display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G583064405","display_name":null,"funder_award_id":"LQ23F020002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1835579201","https://openalex.org/W2048679005","https://openalex.org/W2060465006","https://openalex.org/W2094754482","https://openalex.org/W2132946348","https://openalex.org/W2136585990","https://openalex.org/W2525360812","https://openalex.org/W2526198870","https://openalex.org/W2782829507","https://openalex.org/W2887842788","https://openalex.org/W2966316879","https://openalex.org/W2972610293","https://openalex.org/W2981631843","https://openalex.org/W2988966271","https://openalex.org/W2990019157","https://openalex.org/W2995924296","https://openalex.org/W2998239226","https://openalex.org/W3006494999","https://openalex.org/W3033103428","https://openalex.org/W3034185248","https://openalex.org/W3041350610","https://openalex.org/W3173874704","https://openalex.org/W4210598935","https://openalex.org/W4213423729","https://openalex.org/W4287947470","https://openalex.org/W4313014573","https://openalex.org/W4319996536","https://openalex.org/W4390690464","https://openalex.org/W6738471490","https://openalex.org/W6753772092","https://openalex.org/W6757248479","https://openalex.org/W6773116539","https://openalex.org/W6779833867","https://openalex.org/W6784235280","https://openalex.org/W6786215913","https://openalex.org/W6798502563","https://openalex.org/W6850625674","https://openalex.org/W6852100666"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Acquiring":[0],"nutrition":[1,32,72],"information":[2],"and":[3,56,74,87,94,157,166,185],"health-related":[4],"knowledge":[5,33,62],"about":[6],"food":[7,17,31,71,92,98,186],"is":[8],"a":[9,48,76,114,138,190],"common":[10],"need":[11],"among":[12],"individuals.":[13],"However,":[14],"using":[15,79],"conventional":[16],"names":[18],"as":[19],"search":[20],"queries":[21],"often":[22],"fails":[23],"to":[24,28,60,83,144,173],"yield":[25],"accurate":[26],"matches":[27],"entries":[29,53],"within":[30,189],"bases":[34],"(FoodnKB),":[35],"which":[36],"frequently":[37],"utilize":[38],"scientific":[39],"or":[40],"product":[41],"names.":[42],"In":[43],"this":[44],"study,":[45],"we":[46,112,136,178],"present":[47],"method":[49,159],"for":[50,100],"enriching":[51],"FoodnKB":[52,184],"with":[54,68],"imagery":[55],"facilitating":[57],"visual":[58,102],"access":[59],"food-related":[61],"through":[63],"image":[64,169],"recognition.":[65],"We":[66],"start":[67],"an":[69],"official":[70],"database":[73],"propose":[75],"consensus-based":[77],"approach":[78,123],"Large":[80],"Language":[81],"Models":[82],"identify":[84],"visually":[85,182],"discernible":[86],"directly":[88],"edible":[89],"foods,":[90],"expanding":[91],"synonyms":[93],"harnessing":[95],"diverse":[96],"web-based":[97],"images":[99],"comprehensive":[101],"representation.":[103],"To":[104],"minimize":[105],"manual":[106],"annotation":[107],"of":[108,150,168],"noisy":[109,133],"web":[110],"images,":[111,128],"introduce":[113],"cyclic":[115],"training-based":[116],"area":[117],"under":[118],"the":[119,147,151,181],"margin":[120],"metric":[121],"(cAUM)":[122],"that":[124],"effectively":[125],"distinguishes":[126],"appropriate":[127],"including":[129],"rare":[130],"instances,":[131],"from":[132],"ones.":[134],"Additionally,":[135],"design":[137],"generic":[139],"accuracy":[140,171],"gap":[141],"(AccGap)":[142],"algorithm":[143],"automatically":[145],"estimate":[146],"noise":[148,164],"ratio":[149],"web-harnessed":[152],"data.":[153],"Our":[154],"integrated":[155],"cAUM":[156],"AccGap":[158],"demonstrates":[160],"superior":[161],"performance":[162],"in":[163],"detection":[165],"enhancement":[167],"recognition":[170,187],"compared":[172],"existing":[174],"noise-robust":[175],"frameworks.":[176],"Furthermore,":[177],"successfully":[179],"apply":[180],"enriched":[183],"capabilities":[188],"smart":[191],"nutritionist":[192],"mobile":[193],"application.":[194]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
