{"_buckets": {"deposit": "f772fe4e-2e8e-437c-ab97-ce086c04a79c"}, "_deposit": {"id": "21705", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "21705"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00021705", "sets": []}, "author_link": ["64357", "64358", "64359", "64360", "64361", "64362", "64363", "64364", "64365", "64366", "64367", "64368", "64369", "64370"], "item_10_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "Ingredients Estimation in a Dish by Learning from a Large Number of Recipes with Images", "subitem_alternative_title_language": "en"}]}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2013-03", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "474", "bibliographicPageEnd": "120", "bibliographicPageStart": "115", "bibliographicVolumeNumber": "112", "bibliographic_titles": [{"bibliographic_title": "\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. MVE, \u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u30fb\u4eee\u60f3\u74b0\u5883\u57fa\u790e", "bibliographic_titleLang": "ja"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "\u672c\u5831\u544a\u3067\u306f,\u5165\u529b\u3055\u308c\u305f\u6599\u7406\u753b\u50cf\u304b\u3089\u305d\u306e\u6599\u7406\u306b\u542b\u307e\u308c\u308b\u7d20\u6750\u3092\u63a8\u5b9a\u3059\u308b\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b.\u8fd1\u5e74,\u65e5\u3005\u306e\u98df\u4e8b\u3092\u8a18\u9332\u3059\u308b\u3053\u3068\u3067\u500b\u4eba\u306e\u98df\u4e8b\u306e\u50be\u5411\u3084\u597d\u307f\u3092\u5206\u6790\u3057,\u5065\u5eb7\u72b6\u614b\u306e\u6539\u5584\u3092\u652f\u63f4\u3059\u308b\u30b5\u30fc\u30d3\u30b9\u304c\u5897\u3048\u3066\u3044\u308b.\u3053\u306e\u3088\u3046\u306a\u30b5\u30fc\u30d3\u30b9\u306e\u5b9f\u73fe\u3092\u76ee\u6307\u3057\u305f\u5f93\u6765\u306e\u7814\u7a76\u3067\u306f,\u98df\u4e8b\u753b\u50cf\u304b\u3089\u6599\u7406\u540d\u3092\u63a8\u5b9a\u3059\u308b\u3053\u3068\u3067\u6599\u7406\u306e\u30ab\u30ed\u30ea\u30fc\u3092\u63a8\u5b9a\u3057\u3088\u3046\u3068\u3057\u3066\u3044\u308b.\u3057\u304b\u3057,\u5b9f\u969b\u306b\u306f\u540c\u3058\u7a2e\u985e\u306e\u6599\u7406\u3067\u3082\u4f7f\u308f\u308c\u308b\u7d20\u6750\u306e\u7a2e\u985e\u304c\u7570\u306a\u308b\u5834\u5408\u3082\u591a\u304f,\u6599\u7406\u306e\u7a2e\u985e\u3092\u8a8d\u8b58\u3059\u308b\u3060\u3051\u3067\u306f\u4e0d\u5341\u5206\u3067\u3042\u308b.\u305d\u3053\u3067\u672c\u7814\u7a76\u3067\u306f,\u500b\u4eba\u304c\u64ae\u5f71\u3057\u305f\u6599\u7406\u753b\u50cf\u304b\u3089,\u305d\u306e\u6599\u7406\u306b\u542b\u307e\u308c\u308b\u7d20\u6750\u3092\u63a8\u5b9a\u3059\u308b\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b.\u6599\u7406\u306b\u306f\u7d20\u6750\u306e\u8272\u3084\u5f62\u72b6\u306e\u7279\u5fb4\u304c\u73fe\u308c\u308b\u3053\u3068\u304c\u591a\u3044\u305f\u3081,\u6599\u7406\u753b\u50cf\u304b\u3089\u753b\u50cf\u7279\u5fb4\u91cf\u3092\u62bd\u51fa\u3057\u3066\u5b66\u7fd2\u3057,\u8b58\u5225\u5668\u3092\u69cb\u7bc9\u3059\u308b.\u8a55\u4fa1\u5b9f\u9a13\u306e\u7d50\u679c,\u3059\u3079\u3066\u306e\u8b58\u5225\u5668\u3067\u8b58\u5225\u6027\u80fd\u304c\u30e9\u30f3\u30c0\u30e0\u306a\u8b58\u5225\u3092\u8d85\u3048,\u6709\u52b9\u6027\u3092\u78ba\u8a8d\u3057\u305f.", "subitem_description_language": "ja", "subitem_description_type": "Abstract"}, {"subitem_description": "In this report, we propose a method for estimating the ingredients contained in the dish in an input food image. Recently, the number of services that analyzes the preferences of an individual by recording daily meals, for improving of health, is increasing. Conventional works that try to realize such services, estimate the calorie from the name of the dish detected from the image. However, in practice, different ingredients may be used in the same kind of dishes, so only recognizing the type of a dish is insufficient. Therefore, we propose a method for estimating the ingredients in the dish in an input food image. Since the color and the shape features of an ingredient tend to appear in a dish, the proposed method extracts image feature from the food image and builds classifiers. As a result of an evaluation experiments, we confirmed that the performance of the classifier exceeds random classification.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_10_description_5": {"attribute_name": "\u5185\u5bb9\u8a18\u8ff0", "attribute_value_mlt": [{"subitem_description": "IEICE Technical Report;IMQ2012-55,IEICE Technical Report;IE2012-159,IEICE Technical Report;MVE2012-116,IEICE Technical Report;WIT2012-65", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "URI", "subitem_identifier_uri": "http://ci.nii.ac.jp/naid/110009713334/"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/23854"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a", "subitem_publisher_language": "ja"}]}, "item_10_relation_40": {"attribute_name": "\u30b7\u30ea\u30fc\u30ba", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "IEICE Technical Report;IMQ2012-55"}]}, {"subitem_relation_name": [{"subitem_relation_name_text": "IEICE Technical Report;IE2012-159"}]}, {"subitem_relation_name": [{"subitem_relation_name_text": "IEICE Technical Report;MVE2012-116"}]}, {"subitem_relation_name": [{"subitem_relation_name_text": "IEICE Technical Report;WIT2012-65"}]}]}, "item_10_relation_43": {"attribute_name": "\u95a2\u9023\u60c5\u5831", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "http://ci.nii.ac.jp/naid/110009713334/", "subitem_relation_type_select": "URI"}}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "(c)\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u672c\u6587\u30c7\u30fc\u30bf\u306f\u5b66\u5354\u4f1a\u306e\u8a31\u8afe\u306b\u57fa\u3065\u304dCiNii\u304b\u3089\u8907\u88fd\u3057\u305f\u3082\u306e\u3067\u3042\u308b", "subitem_rights_language": "ja"}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_source_id_7": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "0913-5685", "subitem_source_identifier_type": "PISSN"}]}, "item_1615787544753": {"attribute_name": "\u51fa\u7248\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_access_right": {"attribute_name": "\u30a2\u30af\u30bb\u30b9\u6a29", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "\u677e\u9577, \u5927\u6a39", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64357", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u6a2a\u4e95, \u8061", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64358", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u6797, \u6cf0\u5b8f", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64359", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u9053\u6e80, \u6075\u4ecb", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64360", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u4e95\u624b, \u4e00\u90ce", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64361", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u51fa\u53e3, \u5927\u8f14", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64362", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u6751\u702c, \u6d0b", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64363", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MATSUNAGA, Hiroki", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64364", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "YOKOI, Satoshi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64365", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "HAYASHI, Yasuhiro", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64366", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "DOMAN, Keisuke", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64367", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "IDE, Ichiro", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64368", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "DEGUCHI, Daisuke", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64369", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MURASE, Hiroshi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64370", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-21"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "110009713334.pdf", "filesize": [{"value": "1.2 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 1200000.0, "url": {"label": "110009713334.pdf", "objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/21705/files/110009713334.pdf"}, "version_id": "b71e7d98-baf1-47cd-8d22-94a2ecd7dd36"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "\u6599\u7406\u753b\u50cf", "subitem_subject_scheme": "Other"}, {"subitem_subject": "\u7d20\u6750\u691c\u51fa", "subitem_subject_scheme": "Other"}, {"subitem_subject": "\u753b\u50cf\u7279\u5fb4", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Food image", "subitem_subject_scheme": "Other"}, {"subitem_subject": "ingredient detection", "subitem_subject_scheme": "Other"}, {"subitem_subject": "image feature", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "\u5927\u91cf\u306e\u753b\u50cf\u4ed8\u304d\u6599\u7406\u30ec\u30b7\u30d4\u304b\u3089\u306e\u5b66\u7fd2\u306b\u3088\u308b\u6599\u7406\u306b\u542b\u307e\u308c\u308b\u7d20\u6750\u63a8\u5b9a", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "\u5927\u91cf\u306e\u753b\u50cf\u4ed8\u304d\u6599\u7406\u30ec\u30b7\u30d4\u304b\u3089\u306e\u5b66\u7fd2\u306b\u3088\u308b\u6599\u7406\u306b\u542b\u307e\u308c\u308b\u7d20\u6750\u63a8\u5b9a", "subitem_title_language": "ja"}]}, "item_type_id": "10", "owner": "1", "path": ["312/313/314"], "permalink_uri": "http://hdl.handle.net/2237/23854", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2016-03-16"}, "publish_date": "2016-03-16", "publish_status": "0", "recid": "21705", "relation": {}, "relation_version_is_last": true, "title": ["\u5927\u91cf\u306e\u753b\u50cf\u4ed8\u304d\u6599\u7406\u30ec\u30b7\u30d4\u304b\u3089\u306e\u5b66\u7fd2\u306b\u3088\u308b\u6599\u7406\u306b\u542b\u307e\u308c\u308b\u7d20\u6750\u63a8\u5b9a"], "weko_shared_id": -1}