{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:27:31Z","timestamp":1743031651947,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030687892"},{"type":"electronic","value":"9783030687908"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-68790-8_22","type":"book-chapter","created":{"date-parts":[[2021,2,22]],"date-time":"2021-02-22T13:13:24Z","timestamp":1613999604000},"page":"269-281","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Iconic-Based Retrieval of Grocery Images via Siamese Neural Network"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2878-2131","authenticated-orcid":false,"given":"Gianluigi","family":"Ciocca","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9112-0574","authenticated-orcid":false,"given":"Paolo","family":"Napoletano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3929-8409","authenticated-orcid":false,"given":"Simone Giuseppe","family":"Locatelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,23]]},"reference":[{"issue":"5","key":"22_CR1","doi-asserted-by":"publisher","first-page":"3023","DOI":"10.1109\/TGRS.2013.2268736","volume":"52","author":"E Aptoula","year":"2014","unstructured":"Aptoula, E.: Remote sensing image retrieval with global morphological texture descriptors. IEEE Trans. Geosci. Remote Sens. 52(5), 3023\u20133034 (2014)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"12","key":"22_CR2","doi-asserted-by":"publisher","first-page":"2827","DOI":"10.1007\/s13042-020-01153-z","volume":"11","author":"S Aslan","year":"2020","unstructured":"Aslan, S., Ciocca, G., Mazzini, D., Schettini, R.: Benchmarking algorithms for food localization and semantic segmentation. Int. J. Mach. Learn. Cyber. 11(12), 2827\u20132847 (2020). https:\/\/doi.org\/10.1007\/s13042-020-01153-z","journal-title":"Int. J. Mach. Learn. Cyber."},{"key":"22_CR3","doi-asserted-by":"publisher","first-page":"64270","DOI":"10.1109\/ACCESS.2018.2877890","volume":"6","author":"S Bianco","year":"2018","unstructured":"Bianco, S., Cadene, R., Celona, L., Napoletano, P.: Benchmark analysis of representative deep neural network architectures. IEEE Access 6, 64270\u201364277 (2018)","journal-title":"IEEE Access"},{"key":"22_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1007\/978-3-540-30133-2_132","volume-title":"Knowledge-Based Intelligent Information and Engineering Systems","author":"W ten Brinke","year":"2004","unstructured":"ten Brinke, W., Squire, D.M.G., Bigelow, J.: Similarity: measurement, ordering and betweenness. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3214, pp. 996\u20131002. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-30133-2_132"},{"key":"22_CR5","doi-asserted-by":"crossref","unstructured":"Ciocca, G., Locatelli, S., Napoletano, P.: Multi-task learning for supervised and unsupervised classification of grocery images. In: Proceedings of ICPR Workshop on Texture Analysis, Classification and Retrieval (2021). In press","DOI":"10.1007\/978-3-030-68790-8_26"},{"key":"22_CR6","doi-asserted-by":"publisher","first-page":"32003","DOI":"10.1109\/ACCESS.2020.2973704","volume":"8","author":"G Ciocca","year":"2020","unstructured":"Ciocca, G., Micali, G., Napoletano, P.: State recognition of food images using deep features. IEEE Access 8, 32003\u201332017 (2020)","journal-title":"IEEE Access"},{"key":"22_CR7","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.cviu.2018.09.001","volume":"176\u2013177","author":"G Ciocca","year":"2018","unstructured":"Ciocca, G., Napoletano, P., Schettini, R.: CNN-based features for retrieval and classification of food images. Comput. Vis. Image Underst. 176\u2013177, 70\u201377 (2018)","journal-title":"Comput. Vis. Image Underst."},{"issue":"2","key":"22_CR8","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/1348246.1348248","volume":"40","author":"R Datta","year":"2008","unstructured":"Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image retrieval: ideas, influences, and trends of the new age. ACM Comput. Surv. (CSUR) 40(2), 5 (2008)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"22_CR9","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.eswa.2017.02.050","volume":"81","author":"A Franco","year":"2017","unstructured":"Franco, A., Maltoni, D., Papi, S.: Grocery product detection and recognition. Expert Syst. Appl. 81, 163\u2013176 (2017)","journal-title":"Expert Syst. Appl."},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Hao, Y., Fu, Y., Jiang, Y.G.: Take goods from shelves: a dataset for class-incremental object detection. In: Proceedings of the 2019 on International Conference on Multimedia Retrieval, pp. 271\u2013278 (2019)","DOI":"10.1145\/3323873.3325033"},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Klasson, M., Zhang, C., Kjellstr\u00f6m, H.: A hierarchical grocery store image dataset with visual and semantic labels. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 491\u2013500. IEEE (2019)","DOI":"10.1109\/WACV.2019.00058"},{"key":"22_CR13","doi-asserted-by":"publisher","first-page":"102963","DOI":"10.1016\/j.cviu.2020.102963","volume":"196","author":"Q Li","year":"2020","unstructured":"Li, Q., et al.: Product image recognition with guidance learning and noisy supervision. Comput. Vis. Image Underst. 196, 102963 (2020)","journal-title":"Comput. Vis. Image Underst."},{"issue":"6","key":"22_CR14","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1109\/76.927424","volume":"11","author":"BS Manjunath","year":"2001","unstructured":"Manjunath, B.S., Ohm, J.R., Vasudevan, V.V., Yamada, A.: Color and texture descriptors. IEEE Trans. Circ. Syst. Video Technol. 11(6), 703\u2013715 (2001)","journal-title":"IEEE Trans. Circ. Syst. Video Technol."},{"key":"22_CR15","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to Information Retrieval","author":"CD Manning","year":"2008","unstructured":"Manning, C.D., Raghavan, P., Sch\u00fctze, H.: Introduction to Information Retrieval, vol. 1. Cambridge University Press, Cambridge (2008)"},{"key":"22_CR16","unstructured":"Marko, \u0160.: Automatic fruit recognition using computer vision. Mentor: Matej Kristan, Fakulteta za racunalni\u0161tvo in informatiko, Univerza v Ljubljani (2013)"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Merler, M., Galleguillos, C., Belongie, S.: Recognizing groceries in situ using in vitro training data. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138. IEEE (2007)","DOI":"10.1109\/CVPR.2007.383486"},{"issue":"7","key":"22_CR18","doi-asserted-by":"publisher","first-page":"657","DOI":"10.3390\/nu9070657","volume":"9","author":"S Mezgec","year":"2017","unstructured":"Mezgec, S., Korou\u0161i\u0107 Seljak, B.: NutriNet: a deep learning food and drink image recognition system for dietary assessment. Nutrients 9(7), 657 (2017)","journal-title":"Nutrients"},{"issue":"5","key":"22_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3329168","volume":"52","author":"W Min","year":"2019","unstructured":"Min, W., Jiang, S., Liu, L., Rui, Y., Jain, R.: A survey on food computing. ACM Comput. Surv. (CSUR) 52(5), 1\u201336 (2019)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"1","key":"22_CR20","doi-asserted-by":"publisher","first-page":"26","DOI":"10.2478\/ausi-2018-0002","volume":"10","author":"H Mure\u015fan","year":"2018","unstructured":"Mure\u015fan, H., Oltean, M.: Fruit recognition from images using deep learning. Acta Universitatis Sapientiae Informatica 10(1), 26\u201342 (2018)","journal-title":"Acta Universitatis Sapientiae Informatica"},{"issue":"5","key":"22_CR21","doi-asserted-by":"publisher","first-page":"1343","DOI":"10.1080\/01431161.2017.1399472","volume":"39","author":"P Napoletano","year":"2018","unstructured":"Napoletano, P.: Visual descriptors for content-based retrieval of remote-sensing images. Int. J. Remote Sens. 39(5), 1343\u20131376 (2018)","journal-title":"Int. J. Remote Sens."},{"issue":"11","key":"22_CR22","doi-asserted-by":"publisher","first-page":"1996","DOI":"10.1109\/LGRS.2014.2316143","volume":"11","author":"S Ozkan","year":"2014","unstructured":"Ozkan, S., Ates, T., Tola, E., Soysal, M., Esen, E.: Performance analysis of state-of-the-art representation methods for geographical image retrieval and categorization. IEEE Geosci. Remote Sens. Lett. 11(11), 1996\u20132000 (2014)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"22_CR23","doi-asserted-by":"crossref","unstructured":"Qi, Y., Song, Y.Z., Zhang, H., Liu, J.: Sketch-based image retrieval via siamese convolutional neural network. In: 2016 IEEE International Conference on Image Processing (ICIP), pp. 2460\u20132464. IEEE (2016)","DOI":"10.1109\/ICIP.2016.7532801"},{"key":"22_CR24","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.imavis.2019.03.005","volume":"86","author":"B Santra","year":"2019","unstructured":"Santra, B., Mukherjee, D.P.: A comprehensive survey on computer vision based approaches for automatic identification of products in retail store. Image Vis. Comput. 86, 45\u201363 (2019)","journal-title":"Image Vis. Comput."},{"issue":"12","key":"22_CR25","doi-asserted-by":"publisher","first-page":"1349","DOI":"10.1109\/34.895972","volume":"22","author":"AW Smeulders","year":"2000","unstructured":"Smeulders, A.W., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach. Intell. 22(12), 1349\u20131380 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR26","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.cviu.2019.03.005","volume":"182","author":"A Tonioni","year":"2019","unstructured":"Tonioni, A., Di Stefano, L.: Domain invariant hierarchical embedding for grocery products recognition. Comput. Vis. Image Underst. 182, 81\u201392 (2019)","journal-title":"Comput. Vis. Image Underst."},{"key":"22_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1007\/978-3-319-23222-5_52","volume-title":"New Trends in Image Analysis and Processing \u2013 ICIAP 2015 Workshops","author":"G Waltner","year":"2015","unstructured":"Waltner, G., et al.: MANGO - mobile augmented reality with functional eating guidance and food awareness. In: Murino, V., Puppo, E., Sona, D., Cristani, M., Sansone, C. (eds.) ICIAP 2015. LNCS, vol. 9281, pp. 425\u2013432. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-23222-5_52"},{"issue":"2","key":"22_CR28","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1109\/TGRS.2012.2205158","volume":"51","author":"Y Yang","year":"2013","unstructured":"Yang, Y., Newsam, S.: Geographic image retrieval using local invariant features. IEEE Trans. Geosci. Remote Sens. 51(2), 818\u2013832 (2013)","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition. ICPR International Workshops and Challenges"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-68790-8_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,25]],"date-time":"2021-04-25T22:37:33Z","timestamp":1619390253000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-68790-8_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030687892","9783030687908"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-68790-8_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"23 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 January 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 January 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ICPR2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icpr2020.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}