{"id":"https://openalex.org/W2825536626","doi":"https://doi.org/10.1145/3230519.3230586","title":"Intuitively estimating the healthiness of meals from their images","display_name":"Intuitively estimating the healthiness of meals from their images","publication_year":2018,"publication_date":"2018-07-11","ids":{"openalex":"https://openalex.org/W2825536626","doi":"https://doi.org/10.1145/3230519.3230586","mag":"2825536626"},"language":"en","primary_location":{"id":"doi:10.1145/3230519.3230586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3230519.3230586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Joint Workshop on Multimedia for Cooking and Eating Activities and Multimedia Assisted Dietary Management","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/A5103178261","display_name":"Kyoko Sudo","orcid":"https://orcid.org/0000-0002-0514-1158"},"institutions":[{"id":"https://openalex.org/I129634264","display_name":"Toho University","ror":"https://ror.org/02hcx7n63","country_code":"JP","type":"education","lineage":["https://openalex.org/I129634264"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kyoko Sudo","raw_affiliation_strings":["Toho University, Funabashi, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Toho University, Funabashi, Chiba, Japan","institution_ids":["https://openalex.org/I129634264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007740741","display_name":"Kazuhiko Murasaki","orcid":"https://orcid.org/0000-0001-7697-9575"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiko Murasaki","raw_affiliation_strings":["NTT Media Intelligence Laboratories, Yokosuka, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Media Intelligence Laboratories, Yokosuka, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026941386","display_name":"Tetsuya Kinebuchi","orcid":"https://orcid.org/0000-0002-4255-2642"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Kinebuchi","raw_affiliation_strings":["NTT Media Intelligence Laboratories, Yokosuka, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Media Intelligence Laboratories, Yokosuka, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062294531","display_name":"Shigeko Kimura","orcid":"https://orcid.org/0000-0002-8849-5962"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigeko Kimura","raw_affiliation_strings":["The University of Tokyo, Bunkyo-ku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078504986","display_name":"Kayo Waki","orcid":"https://orcid.org/0000-0003-0046-2523"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kayo Waki","raw_affiliation_strings":["The University of Tokyo, Bunkyo-ku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052636056","display_name":"Kazuhiko Ohe","orcid":"https://orcid.org/0000-0002-4296-9536"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiko Ohe","raw_affiliation_strings":["The University of Tokyo, Bunkyo-ku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103178261"],"corresponding_institution_ids":["https://openalex.org/I129634264"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09725608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9954000115394592,"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":0.9954000115394592,"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/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9560999870300293,"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/T11411","display_name":"Tea Polyphenols and Effects","score":0.9211999773979187,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.703728199005127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.662049412727356},{"id":"https://openalex.org/keywords/meal","display_name":"Meal","score":0.6260011792182922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5650001764297485},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5211639404296875},{"id":"https://openalex.org/keywords/judgement","display_name":"Judgement","score":0.41970694065093994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3853491544723511},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3425120413303375},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25685423612594604}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.703728199005127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.662049412727356},{"id":"https://openalex.org/C2778345441","wikidata":"https://www.wikidata.org/wiki/Q6460735","display_name":"Meal","level":2,"score":0.6260011792182922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5650001764297485},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5211639404296875},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.41970694065093994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3853491544723511},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3425120413303375},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25685423612594604},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3230519.3230586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3230519.3230586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Joint Workshop on Multimedia for Cooking and Eating Activities and Multimedia Assisted Dietary Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1835579201","https://openalex.org/W1963726930","https://openalex.org/W2007121115","https://openalex.org/W2013756443","https://openalex.org/W2021543368","https://openalex.org/W2052501780","https://openalex.org/W2055527244","https://openalex.org/W2096761622","https://openalex.org/W2109214277","https://openalex.org/W2163749741","https://openalex.org/W2293499654","https://openalex.org/W2353070889","https://openalex.org/W2374399370","https://openalex.org/W2560023338","https://openalex.org/W2560804113","https://openalex.org/W2952000562","https://openalex.org/W4240305560","https://openalex.org/W4254896567","https://openalex.org/W4388624454"],"related_works":["https://openalex.org/W2886802431","https://openalex.org/W4388216822","https://openalex.org/W1761762290","https://openalex.org/W4391191813","https://openalex.org/W4387575966","https://openalex.org/W2384262901","https://openalex.org/W2975214487","https://openalex.org/W651304006","https://openalex.org/W2345720417","https://openalex.org/W2385564112"],"abstract_inverted_index":{"Self-management":[0],"of":[1,7,21,31,65,101,145,163,172,189,215,218],"meals":[2],"is":[3,42,128,151,168,175,201],"a":[4,36,95,146],"key":[5],"component":[6],"treating":[8],"diabetes.":[9],"There":[10],"are":[11],"systems":[12,25,56],"that":[13,97,150,179,206,226],"support":[14],"meal":[15,103,127,174,227],"planning":[16],"by":[17,79,133,153],"processing":[18,135],"the":[19,27,32,46,58,66,72,80,84,88,99,102,106,117,126,137,140,161,166,180,186,207,216,221,236],"images":[20,199,222],"meals.":[22,53],"Most":[23],"such":[24],"output":[26,78,170],"estimated":[28],"nutrition":[29,118],"values":[30],"individual":[33],"dishes,":[34,67],"however,":[35],"more":[37,249],"intuitive":[38,213],"and":[39,74,104,156],"useful":[40],"approach":[41],"to":[43,48,60,69,159,169,211,233,242,247],"give":[44],"patients":[45,244],"motivation":[47],"become":[49],"interested":[50],"in":[51,109,139],"their":[52,253],"Unfortunately,":[54],"existing":[55],"require":[57],"patient":[59,85],"manually":[61,70],"input":[62],"full":[63],"details":[64],"or":[68,130],"correct":[71],"roughly":[73,184],"automatically":[75],"recognized":[76],"results":[77,188,204],"systems,":[81],"which":[82,115],"deters":[83],"from":[86,220],"using":[87],"system.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93],"present":[94],"system":[96,143,182,208,238],"predicts":[98,124],"healthiness":[100,219],"activate":[105],"patient's":[107],"interest":[108],"self-management.":[110],"Unlike":[111],"conventional":[112],"image-based":[113],"methods,":[114],"estimate":[116],"via":[119],"food-category":[120],"recognition,":[121],"our":[122],"proposal":[123],"if":[125],"healthy":[129,132],"not":[131],"visually":[134],"all":[136,198],"dishes":[138],"meal.":[141],"Our":[142],"consists":[144],"convolutional":[147],"neural":[148],"network(CNN),":[149],"trained":[152],"joint":[154],"classification":[155],"ranking":[157,187,194],"loss":[158],"replicate":[160],"judgement":[162],"registered":[164,190],"dietitians;":[165],"goal":[167],"predictions":[171],"\"which":[173],"healthier\".":[176],"Experiments":[177],"show":[178,205],"proposed":[181,237],"can":[183,239],"match":[185],"dietitians.":[191],"The":[192,203],"overall":[193],"error":[195],"rate":[196,217],"for":[197,251],"examined":[200],"16.4%.":[202],"learns":[209],"how":[210],"make":[212],"assessments":[214],"themselves.":[223],"This":[224],"implies":[225],"appearance":[228],"contains":[229],"valuable":[230],"clues":[231],"as":[232],"healthiness.":[234],"Thus":[235],"be":[240],"used":[241],"detect":[243],"who":[245],"need":[246],"receive":[248],"guidance":[250],"improving":[252],"eating":[254],"style.":[255]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
