{"id":"https://openalex.org/W2739820383","doi":"https://doi.org/10.1145/3106668.3106675","title":"Learning Food Appearance by a Supervision with Recipe Text","display_name":"Learning Food Appearance by a Supervision with Recipe Text","publication_year":2017,"publication_date":"2017-07-31","ids":{"openalex":"https://openalex.org/W2739820383","doi":"https://doi.org/10.1145/3106668.3106675","mag":"2739820383"},"language":"en","primary_location":{"id":"doi:10.1145/3106668.3106675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106668.3106675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Multimedia for Cooking and Eating Activities in conjunction with The 2017 International Joint Conference on Artificial Intelligence","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/A5038408644","display_name":"Atsushi Hashimoto","orcid":"https://orcid.org/0000-0002-0799-4269"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Atsushi Hashimoto","raw_affiliation_strings":["Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002501119","display_name":"Takumi Fujino","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takumi Fujino","raw_affiliation_strings":["Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071534235","display_name":"Jun Harashima","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136457","display_name":"Shibuya (Japan)","ror":"https://ror.org/03t1ztz45","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210136457"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Harashima","raw_affiliation_strings":["Cookpad Inc., Shibuya-ku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Cookpad Inc., Shibuya-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I4210136457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009968486","display_name":"Masaaki Iiyama","orcid":"https://orcid.org/0000-0002-7715-3078"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Iiyama","raw_affiliation_strings":["Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006308263","display_name":"Michihiko Minoh","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Michihiko Minoh","raw_affiliation_strings":["Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038408644"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09574859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9926999807357788,"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":0.9926999807357788,"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":0.9715999960899353,"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/T11925","display_name":"Culinary Culture and Tourism","score":0.9448000192642212,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recipe","display_name":"Recipe","score":0.8803627490997314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.791218638420105},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7521505355834961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7154991626739502},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6220331788063049},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5495098233222961},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4955328702926636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42698901891708374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41553935408592224},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39408594369888306}],"concepts":[{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.8803627490997314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791218638420105},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7521505355834961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7154991626739502},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6220331788063049},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5495098233222961},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4955328702926636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42698901891708374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41553935408592224},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39408594369888306},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106668.3106675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106668.3106675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Multimedia for Cooking and Eating Activities in conjunction with The 2017 International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G6354438188","display_name":null,"funder_award_id":"16K16099","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W129606432","https://openalex.org/W1686810756","https://openalex.org/W1858383477","https://openalex.org/W1905882502","https://openalex.org/W1969616664","https://openalex.org/W1994488211","https://openalex.org/W2013451793","https://openalex.org/W2016016818","https://openalex.org/W2032293070","https://openalex.org/W2088049833","https://openalex.org/W2098517267","https://openalex.org/W2099528205","https://openalex.org/W2110933980","https://openalex.org/W2112912048","https://openalex.org/W2125238156","https://openalex.org/W2130287054","https://openalex.org/W2135674549","https://openalex.org/W2160126721","https://openalex.org/W2193145675","https://openalex.org/W2250965435","https://openalex.org/W2296613712","https://openalex.org/W2402556942","https://openalex.org/W2573635482","https://openalex.org/W2579317665","https://openalex.org/W2594337990","https://openalex.org/W2953106684","https://openalex.org/W2962749380","https://openalex.org/W2963758027","https://openalex.org/W2999544573","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W258429745","https://openalex.org/W3161239248","https://openalex.org/W2740181000","https://openalex.org/W1584543623","https://openalex.org/W2561508161","https://openalex.org/W3123969856","https://openalex.org/W3195543079","https://openalex.org/W2098178683","https://openalex.org/W2740680361","https://openalex.org/W3187068967"],"abstract_inverted_index":{"We":[0,136],"attempt":[1],"to":[2,6],"train":[3,45],"a":[4,46,97,132],"classifier":[5,47,147],"identify":[7],"food":[8,14,36],"items":[9,37],"in":[10,81,110,126],"images":[11,74],"captured":[12],"during":[13,21,38],"preparation":[15,40],"processes.":[16],"Food":[17],"changes":[18],"appearance":[19],"significantly":[20],"the":[22,39,111,121,127,143,150,154,158,176],"cooking":[23],"process,":[24],"and":[25,61,86],"different":[26],"foods":[27],"can":[28,67],"be":[29,68],"mixed":[30],"together.":[31],"Thus,":[32],"manually":[33],"annotating":[34],"individual":[35],"process":[41],"is":[42],"difficult.":[43],"To":[44,91],"without":[48],"manual":[49],"annotation,":[50],"we":[51,95],"used":[52,157],"multimedia":[53],"recipes":[54],"with":[55,160,173],"stepwise":[56,65],"pairs":[57,66,117],"of":[58,170],"instructional":[59],"text":[60,82],"an":[62,138,167],"image.":[63],"Such":[64],"informative":[69],"for":[70,175],"training;":[71],"however,":[72],"most":[73],"contain":[75],"objects":[76],"that":[77,99,156],"are":[78,118],"not":[79],"referenced":[80],"(i.e.,":[83],"missing":[84,101],"labels)":[85],"vice":[87],"versa":[88],"(inaccurate":[89],"labels).":[90],"reduce":[92],"such":[93],"mismatches,":[94],"propose":[96],"method":[98,152,159,165],"identifies":[100],"labels":[102],"by":[103],"searching":[104],"label":[105],"candidates":[106],"from":[107,120],"upstream":[108],"processes":[109],"given":[112],"recipe.":[113],"Then,":[114],"inconsistent":[115],"word-appearance":[116],"removed":[119],"sample":[122],"based":[123],"on":[124],"differences":[125],"model":[128],"fitting":[129],"speed":[130],"using":[131,140,149],"convolutional":[133],"neural":[134],"network.":[135],"conducted":[137],"experiment":[139],"carrot":[141],"as":[142],"target":[144],"food.":[145],"The":[146,163],"trained":[148],"proposed":[151,164],"outperformed":[153],"one":[155],"naive":[161,177],"implementation.":[162,178],"achieved":[166],"average":[168],"precision":[169],"91%":[171],"compared":[172],"83.8%":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
