{"id":"https://openalex.org/W4390479042","doi":"https://doi.org/10.1145/3595916.3626748","title":"Automatic Dataset Creation from User-generated Recipes for Ingredient-centric Food Image Analysis","display_name":"Automatic Dataset Creation from User-generated Recipes for Ingredient-centric Food Image Analysis","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4390479042","doi":"https://doi.org/10.1145/3595916.3626748"},"language":"en","primary_location":{"id":"doi:10.1145/3595916.3626748","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595916.3626748","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626748","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626748","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066574592","display_name":"Liangyu Wang","orcid":"https://orcid.org/0009-0004-2049-1449"},"institutions":[{"id":"https://openalex.org/I4210109338","display_name":"University of Tokyo Hospital","ror":"https://ror.org/022cvpj02","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210109338"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Liangyu Wang","raw_affiliation_strings":["The University of Tokyo, JP"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, JP","institution_ids":["https://openalex.org/I4210109338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049370647","display_name":"Yoko Yamakata","orcid":"https://orcid.org/0000-0003-2752-6179"},"institutions":[{"id":"https://openalex.org/I4210109338","display_name":"University of Tokyo Hospital","ror":"https://ror.org/022cvpj02","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210109338"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoko Yamakata","raw_affiliation_strings":["The University of Tokyo, JP"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, JP","institution_ids":["https://openalex.org/I4210109338"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069982192","display_name":"Kiyoharu Aizawa","orcid":"https://orcid.org/0000-0003-2146-6275"},"institutions":[{"id":"https://openalex.org/I4210109338","display_name":"University of Tokyo Hospital","ror":"https://ror.org/022cvpj02","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210109338"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoharu Aizawa","raw_affiliation_strings":["The University of Tokyo, JP"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, JP","institution_ids":["https://openalex.org/I4210109338"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066574592"],"corresponding_institution_ids":["https://openalex.org/I4210109338"],"apc_list":null,"apc_paid":null,"fwci":0.8576,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76614165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11925","display_name":"Culinary Culture and Tourism","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13984","display_name":"Nutrition, Genetics, and Disease","score":0.9613999724388123,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ingredient","display_name":"Ingredient","score":0.8865467309951782},{"id":"https://openalex.org/keywords/recipe","display_name":"Recipe","score":0.8590101003646851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6751286387443542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5654240846633911},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5646337866783142},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5080933570861816},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45778998732566833},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45187896490097046},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4475819766521454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36466798186302185},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36057281494140625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26495450735092163},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.1851205825805664},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07757452130317688}],"concepts":[{"id":"https://openalex.org/C2780589914","wikidata":"https://www.wikidata.org/wiki/Q10675206","display_name":"Ingredient","level":2,"score":0.8865467309951782},{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.8590101003646851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6751286387443542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5654240846633911},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5646337866783142},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5080933570861816},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45778998732566833},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45187896490097046},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4475819766521454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36466798186302185},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36057281494140625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26495450735092163},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.1851205825805664},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07757452130317688},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3595916.3626748","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595916.3626748","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626748","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3595916.3626748","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595916.3626748","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626748","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G1069223013","display_name":null,"funder_award_id":"JSPS KAKENHI","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G271384847","display_name":"Knowledge Acquisition from Procedural Texts","funder_award_id":"20H04210","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3940048908","display_name":null,"funder_award_id":"22H03993","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4636223006","display_name":null,"funder_award_id":"JSPS KAK","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8430481527","display_name":null,"funder_award_id":"Number","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320327550","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390479042.pdf","grobid_xml":"https://content.openalex.org/works/W4390479042.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1979008561","https://openalex.org/W1982635469","https://openalex.org/W2000105909","https://openalex.org/W2072811267","https://openalex.org/W2094931013","https://openalex.org/W2529099292","https://openalex.org/W2531638282","https://openalex.org/W2600177218","https://openalex.org/W2737041163","https://openalex.org/W2777122644","https://openalex.org/W2892022580","https://openalex.org/W2893673243","https://openalex.org/W2960416371","https://openalex.org/W2963055199","https://openalex.org/W2980318016","https://openalex.org/W3038108576","https://openalex.org/W3092406709","https://openalex.org/W3104226648","https://openalex.org/W3115266926","https://openalex.org/W3206983918","https://openalex.org/W4242234678","https://openalex.org/W4245144332","https://openalex.org/W4286696412","https://openalex.org/W4289639868","https://openalex.org/W4304014246","https://openalex.org/W7144277032"],"related_works":["https://openalex.org/W2909050333","https://openalex.org/W2611971073","https://openalex.org/W2011684307","https://openalex.org/W2950291079","https://openalex.org/W2512497230","https://openalex.org/W4288389006","https://openalex.org/W2124095343","https://openalex.org/W3168874191","https://openalex.org/W2065710407","https://openalex.org/W2765707332"],"abstract_inverted_index":{"We":[0],"aim":[1],"to":[2],"develop":[3],"an":[4,41],"application":[5],"that":[6,84,99,122],"automatically":[7],"creates":[8],"a":[9,23,31,36,64,114,129],"nutrition":[10],"facts":[11],"label":[12,104],"from":[13,92],"food":[14,27,70,89,93,102],"images":[15],"for":[16,47],"precise":[17],"dietary":[18],"control.":[19],"Firstly,":[20],"we":[21,81],"constructed":[22],"new":[24],"dataset":[25],"with":[26],"category":[28,103],"labels":[29],"and":[30,45,73,105],"list":[32,87,108,127],"of":[33,57,68,88,117,131],"ingredients":[34],"in":[35,133],"nutritionally":[37],"calculable":[38],"format":[39],"using":[40,63,77],"image":[42],"classification":[43],"model":[44,98,121],"BERT":[46],"1.6":[48],"million":[49],"recipes":[50],"accompanied":[51],"by":[52],"images.":[53,94],"The":[54],"nutritional":[55],"value":[56],"the":[58,69,86,96,101,106,119,125],"recipe":[59],"can":[60],"be":[61],"calculated":[62],"conversion":[65],"table":[66],"consisting":[67],"item":[71,90],"number":[72,116],"unit":[74],"class.":[75],"Next,":[76],"deep":[78],"learning":[79],"techniques,":[80],"built":[82],"models":[83],"estimate":[85],"numbers":[91],"While":[95],"multi-task":[97],"identifies":[100],"ingredient":[107,126],"simultaneously":[109],"is":[110],"only":[111,123],"effective":[112],"within":[113],"limited":[115],"recipes,":[118],"single-task":[120],"identified":[124],"achieved":[128],"Micro-F1":[130],"53.32%":[132],"total.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}