{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T11:33:30Z","timestamp":1774265610644,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T00:00:00Z","timestamp":1543622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"SGR 1219","award":["TIN2015-66951-C2-1-R"],"award-info":[{"award-number":["TIN2015-66951-C2-1-R"]}]},{"name":"CERCA Programme\/Generalitat de Catalunya"},{"name":"NVIDIA Corporation"},{"name":"Titan Xp GPU"},{"name":"CONICYT Becas Chile"},{"name":"Spanish Ministry of Economy and Competitiveness under Juan de la Cierva","award":["FJCI-2014-21194"],"award-info":[{"award-number":["FJCI-2014-21194"]}]},{"name":"FPU fellowship","award":["FPU15\/01347"],"award-info":[{"award-number":["FPU15\/01347"]}]},{"name":"ICREA Academia 2014"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/tmm.2018.2831627","type":"journal-article","created":{"date-parts":[[2018,4,30]],"date-time":"2018-04-30T22:38:28Z","timestamp":1525127908000},"page":"3266-3275","source":"Crossref","is-referenced-by-count":113,"title":["Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2463-0301","authenticated-orcid":false,"given":"Eduardo","family":"Aguilar","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9265-253X","authenticated-orcid":false,"given":"Beatriz","family":"Remeseiro","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9838-1435","authenticated-orcid":false,"given":"Marc","family":"Bolanos","sequence":"additional","affiliation":[]},{"given":"Petia","family":"Radeva","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.156"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref33","first-page":"13","article-title":"Foodness proposal for multiple food detection by training of single food images","author":"shimoda","year":"0","journal-title":"Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management"},{"key":"ref32","first-page":"449","article-title":"CNN-based food image segmentation without pixel-wise annotation","author":"shimoda","year":"0","journal-title":"Proc Int Conf Image Anal Process"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2614861"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2438717"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.549"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2639382"},{"key":"ref40","author":"gonzalez","year":"2004","journal-title":"Digital Image Processing Using Matlab"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2759499"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123428"},{"key":"ref13","first-page":"334","article-title":"Food recognition and leftover estimation for daily diet monitoring","author":"ciocca","year":"0","journal-title":"Proc Conf Image Anal Process"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2636441"},{"key":"ref15","first-page":"36","article-title":"The design of a smart tray with its canteen users: A formative\n study","volume":"617","author":"raimato","year":"0","journal-title":"Proc Int Conf Methodologies Intell Syst Technol Enhanced Learn"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654970"},{"key":"ref17","first-page":"23","article-title":"FoodLog:\n Capture, analysis and retrieval of personal food images via web","author":"kitamura","year":"0","journal-title":"Proc Workshop on Multimedia for Cooking and Eating Activities"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900117"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/nu9070657"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2015.83"},{"key":"ref4","first-page":"3","article-title":"Food\/non-food image classification and food\n categorization using pre-trained GoogLeNet model","author":"singla","year":"0","journal-title":"Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management"},{"key":"ref27","first-page":"213","article-title":"Food recognition using fusion of classifiers based on CNNs","author":"aguilar","year":"0","journal-title":"Proc Int Conf Image Anal Process"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-74727-9_40"},{"key":"ref6","article-title":"Personalized dietary self-management using\n mobile vision-based assistance","author":"waltner","year":"0","journal-title":"Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2015.117"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2271474"},{"key":"ref8","first-page":"394","article-title":"Food ingredients recognition through multi-label learning","author":"bola\u00f1os","year":"0","journal-title":"Proc Int Conf Image Anal Process"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2642792"},{"key":"ref2","first-page":"77","article-title":"Food vs non-food classification","author":"ragusa","year":"0","journal-title":"Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2964315"},{"key":"ref1","first-page":"350","article-title":"Highly accurate food\/non-food image classification based on a deep convolutional neural network","author":"kagaya","year":"0","journal-title":"Proc Int Conf Image Anal Process"},{"key":"ref46","first-page":"234","article-title":"U-net:\n Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proc Int Conf Med Image Comput Comput -Assisted Intervention"},{"key":"ref20","article-title":"Wide-slice residual networks for food recognition","author":"martinel","year":"2016","journal-title":"arXiv 1612 06543"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"ref48","article-title":"Darknet: Open source neural networks in C","author":"redmon","year":"2016"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2015.7169816"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/34.946985"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref24","first-page":"41","article-title":"Food image recognition using very deep convolutional networks","author":"hassannejad","year":"0","journal-title":"Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref23","first-page":"37","article-title":"Deepfood: Deep\n learning-based food image recognition for computer-aided dietary assessment","author":"liu","year":"0","journal-title":"Proc Int Conf Smart Homes Health Telematics"},{"key":"ref44","first-page":"1","article-title":"Object detection with\n discriminatively trained part based models","volume":"32","author":"felzenszwalb","year":"2009","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref26","first-page":"446","article-title":"Food-101–mining discriminative components with random forests","author":"bossard","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref43","first-page":"340","article-title":"Diagnosing error in object detectors","author":"hoiem","year":"2012","journal-title":"Eur Conf Comput Vis"},{"key":"ref25","first-page":"3","article-title":"Automatic expansion of a food image dataset leveraging existing categories with domain\n adaptation","author":"kawano","year":"0","journal-title":"Proc Eur Conf Comput Vis Workshops"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/8536741\/08352652.pdf?arnumber=8352652","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T19:13:07Z","timestamp":1643224387000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8352652\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":48,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tmm.2018.2831627","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12]]}}}