{"id":"https://openalex.org/W2419522548","doi":"https://doi.org/10.1587/transinf.2015edl8212","title":"Food Image Recognition Using Covariance of Convolutional Layer Feature Maps","display_name":"Food Image Recognition Using Covariance of Convolutional Layer Feature Maps","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2419522548","doi":"https://doi.org/10.1587/transinf.2015edl8212","mag":"2419522548"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2015edl8212","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edl8212","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/6/E99.D_2015EDL8212/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/6/E99.D_2015EDL8212/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090115700","display_name":"Atsushi Tatsuma","orcid":null},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi TATSUMA","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022595726","display_name":"Masaki Aono","orcid":"https://orcid.org/0000-0003-1383-1076"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki AONO","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology","institution_ids":["https://openalex.org/I136259955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I136259955"],"apc_list":null,"apc_paid":null,"fwci":2.486,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92924864,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"E99.D","issue":"6","first_page":"1711","last_page":"1715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965999722480774,"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":0.9965999722480774,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.992900013923645,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.8118293285369873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7855204343795776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7787060141563416},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7588104009628296},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6429871916770935},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.6373001933097839},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6204282641410828},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6001235842704773},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5486224889755249},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.5422815084457397},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4860416054725647},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4436604380607605},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42301711440086365},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.41472917795181274},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37412142753601074},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.20770034193992615},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.20310118794441223},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1469930112361908}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8118293285369873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7855204343795776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7787060141563416},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7588104009628296},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6429871916770935},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.6373001933097839},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6204282641410828},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6001235842704773},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5486224889755249},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.5422815084457397},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4860416054725647},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4436604380607605},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42301711440086365},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.41472917795181274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37412142753601074},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.20770034193992615},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.20310118794441223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1469930112361908},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2015edl8212","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edl8212","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/6/E99.D_2015EDL8212/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2015edl8212","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edl8212","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/6/E99.D_2015EDL8212/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G1167601087","display_name":"Development of Shape-based 3D Object Automatic Annotation","funder_award_id":"15K15992","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2401348403","display_name":"Research on High Performance 3D Shape Retrieval under Diversified Queries including 2D Inputs and Semantic Attributes such as Holes and Concavities","funder_award_id":"26280038","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4172960462","display_name":"Flora and fauna identification system based on multi-modal data observed","funder_award_id":"15K12027","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8904429524","display_name":null,"funder_award_id":"26280038","funder_id":"https://openalex.org/F4320315724","funder_display_name":"Kayamori Foundation of Informational Science Advancement"}],"funders":[{"id":"https://openalex.org/F4320315567","display_name":"Kayamori Foundation of Informational Science","ror":null},{"id":"https://openalex.org/F4320315724","display_name":"Kayamori Foundation of Informational Science Advancement","ror":null},{"id":"https://openalex.org/F4320320923","display_name":"Branco Weiss Fellowship \u2013 Society in Science","ror":"https://ror.org/05a28rw58"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2419522548.pdf","grobid_xml":"https://content.openalex.org/works/W2419522548.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W1487583988","https://openalex.org/W1549083695","https://openalex.org/W1590510366","https://openalex.org/W1679894842","https://openalex.org/W1849277567","https://openalex.org/W1960777822","https://openalex.org/W1966385142","https://openalex.org/W1967632700","https://openalex.org/W1982635469","https://openalex.org/W1983496390","https://openalex.org/W2062118960","https://openalex.org/W2079698427","https://openalex.org/W2087006489","https://openalex.org/W2092535060","https://openalex.org/W2108598243","https://openalex.org/W2118585731","https://openalex.org/W2119587978","https://openalex.org/W2155541015","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2166127773","https://openalex.org/W2296448531"],"related_works":["https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W1964725559","https://openalex.org/W3109748140","https://openalex.org/W2045053268","https://openalex.org/W2433492094","https://openalex.org/W2767833206","https://openalex.org/W1556327589","https://openalex.org/W2108671564"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"have":[2],"obtained":[3],"superior":[4],"performance":[5,51],"in":[6,56],"image":[7,14,42,47,58,64],"recognition":[8,43],"tasks":[9,44],"by":[10],"using,":[11],"as":[12,97],"an":[13],"representation,":[15],"the":[16,33,53,70,78,81,93,98,101],"fully":[17],"connected":[18],"layer":[19,74],"activations":[20],"of":[21,30,52,69,72],"Convolutional":[22],"Neural":[23],"Networks":[24],"(CNN)":[25],"trained":[26],"with":[27],"various":[28],"kinds":[29],"images.":[31],"However,":[32],"CNN":[34,54],"representation":[35,55,65],"is":[36,67],"not":[37],"very":[38],"suitable":[39],"for":[40],"fine-grained":[41],"involving":[45],"food":[46,57],"recognition.":[48],"For":[49],"improving":[50],"recognition,":[59],"we":[60],"propose":[61],"a":[62],"novel":[63],"that":[66],"comprised":[68],"covariances":[71],"convolutional":[73],"feature":[75],"maps.":[76],"In":[77],"experiment":[79],"on":[80],"ETHZ":[82],"Food-101":[83],"dataset,":[84],"our":[85],"method":[86],"achieved":[87],"58.65%":[88],"averaged":[89],"accuracy,":[90],"which":[91],"outperforms":[92],"previous":[94],"methods":[95],"such":[96],"Bag-of-Visual-Words":[99],"Histogram,":[100],"Improved":[102],"Fisher":[103],"Vector,":[104],"and":[105],"CNN-SVM.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
