{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:07:57Z","timestamp":1747382877145,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030377304"},{"type":"electronic","value":"9783030377311"}],"license":[{"start":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T00:00:00Z","timestamp":1577145600000},"content-version":"tdm","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":[[2020]]},"DOI":"10.1007\/978-3-030-37731-1_44","type":"book-chapter","created":{"date-parts":[[2019,12,27]],"date-time":"2019-12-27T01:02:51Z","timestamp":1577408571000},"page":"543-554","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["SEE-LPR: A Semantic Segmentation Based End-to-End System for Unconstrained License Plate Detection and Recognition"],"prefix":"10.1007","author":[{"given":"Dongqi","family":"Tang","sequence":"first","affiliation":[]},{"given":"Hao","family":"Kong","sequence":"additional","affiliation":[]},{"given":"Xi","family":"Meng","sequence":"additional","affiliation":[]},{"given":"Ruo-Ze","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Tong","family":"Lu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,12,24]]},"reference":[{"issue":"3","key":"44_CR1","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1109\/TITS.2006.880641","volume":"7","author":"CNE Anagnostopoulos","year":"2006","unstructured":"Anagnostopoulos, C.N.E., Anagnostopoulos, I.E., Loumos, V., Kayafas, E.: A license plate-recognition algorithm for intelligent transportation system applications. IEEE Trans. Intell. Transp. Syst. 7(3), 377\u2013392 (2006)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"4","key":"44_CR2","doi-asserted-by":"publisher","first-page":"1690","DOI":"10.1109\/TITS.2014.2304515","volume":"15","author":"AH Ashtari","year":"2014","unstructured":"Ashtari, A.H., Nordin, M.J., Fathy, M.: An iranian license plate recognition system based on color features. IEEE Trans. Intell. Transp. Syst. 15(4), 1690\u20131705 (2014)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"5","key":"44_CR3","doi-asserted-by":"publisher","first-page":"053034","DOI":"10.1117\/1.JEI.25.5.053034","volume":"25","author":"GR Gon\u00e7alves","year":"2016","unstructured":"Gon\u00e7alves, G.R., da Silva, S.P.G., Menotti, D., Schwartz, W.R.: Benchmark for license plate character segmentation. J. Electron. Imaging 25(5), 053034 (2016)","journal-title":"J. Electron. Imaging"},{"doi-asserted-by":"crossref","unstructured":"Graves, A., Fern\u00e1ndez, S., Gomez, F., Schmidhuber, J.: Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 369\u2013376. ACM (2006)","key":"44_CR4","DOI":"10.1145\/1143844.1143891"},{"doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask R-CNN. In: Proceedings of the IEEE international Conference on Computer Vision, pp. 2961\u20132969 (2017)","key":"44_CR5","DOI":"10.1109\/ICCV.2017.322"},{"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)","key":"44_CR6","DOI":"10.1109\/CVPR.2016.90"},{"doi-asserted-by":"crossref","unstructured":"Hsu, G.S., Ambikapathi, A.M., Chung, S.L., Su, C.P.: Robust license plate detection in the wild. In: IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 1\u20136 (2017)","key":"44_CR7","DOI":"10.1109\/AVSS.2017.8078493"},{"issue":"2","key":"44_CR8","doi-asserted-by":"publisher","first-page":"552","DOI":"10.1109\/TVT.2012.2226218","volume":"62","author":"GS Hsu","year":"2013","unstructured":"Hsu, G.S., Chen, J.C., Chung, Y.Z.: Application-oriented license plate recognition. IEEE Trans. Veh. Technol. 62(2), 552\u2013561 (2013)","journal-title":"IEEE Trans. Veh. Technol."},{"doi-asserted-by":"crossref","unstructured":"Laroca, R., et al.: A robust real-time automatic license plate recognition based on the YOLO detector, pp. 1\u201310 (2018)","key":"44_CR9","DOI":"10.1109\/IJCNN.2018.8489629"},{"issue":"3","key":"44_CR10","doi-asserted-by":"publisher","first-page":"1126","DOI":"10.1109\/TITS.2018.2847291","volume":"20","author":"H Li","year":"2018","unstructured":"Li, H., Wang, P., Shen, C.: Toward end-to-end car license plate detection and recognition with deep neural networks. IEEE Trans. Intell. Transp. Syst. 20(3), 1126\u20131136 (2018)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"44_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-319-46448-0_2","volume-title":"Computer Vision \u2013 ECCV 2016","author":"W Liu","year":"2016","unstructured":"Liu, W., et al.: SSD: single shot multibox detector. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 21\u201337. Springer, Cham (2016). \nhttps:\/\/doi.org\/10.1007\/978-3-319-46448-0_2"},{"doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431\u20133440 (2015)","key":"44_CR12","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"44_CR13","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/978-3-030-01264-9_5","volume-title":"Computer Vision \u2013 ECCV 2018","author":"Pengyuan Lyu","year":"2018","unstructured":"Lyu, P., Liao, M., Yao, C., Wu, W., Bai, X.: Mask TextSpotter: an end-to-end trainable neural network for spotting text with arbitrary shapes. In: Proceedings of the European Conference on Computer Vision, pp. 67\u201383 (2018)"},{"doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779\u2013788 (2016)","key":"44_CR14","DOI":"10.1109\/CVPR.2016.91"},{"doi-asserted-by":"crossref","unstructured":"Selmi, Z., Halima, M.B., Alimi, A.M.: Deep learning system for automatic license plate detection and recognition. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 1, pp. 1132\u20131138. IEEE (2017)","key":"44_CR15","DOI":"10.1109\/ICDAR.2017.187"},{"key":"44_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/978-3-030-01258-8_36","volume-title":"Computer Vision \u2013 ECCV 2018","author":"SM Silva","year":"2018","unstructured":"Silva, S.M., Jung, C.R.: License plate detection and recognition in unconstrained scenarios. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11216, pp. 593\u2013609. Springer, Cham (2018). \nhttps:\/\/doi.org\/10.1007\/978-3-030-01258-8_36"},{"key":"44_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/978-3-030-01261-8_16","volume-title":"Computer Vision \u2013 ECCV 2018","author":"Z Xu","year":"2018","unstructured":"Xu, Z., et al.: Towards end-to-end license plate detection and recognition: a large dataset and baseline. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11217, pp. 261\u2013277. Springer, Cham (2018). \nhttps:\/\/doi.org\/10.1007\/978-3-030-01261-8_16"},{"issue":"5","key":"44_CR18","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1049\/iet-its.2017.0138","volume":"12","author":"Z Youting","year":"2018","unstructured":"Youting, Z., Zhi, Y., Xiying, L.: Evaluation methodology for license plate recognition systems and experimental results. IET Intell. Transp. Syst. 12(5), 375\u2013385 (2018)","journal-title":"IET Intell. Transp. Syst."},{"issue":"1","key":"44_CR19","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.patcog.2014.07.027","volume":"48","author":"S Yu","year":"2015","unstructured":"Yu, S., Li, B., Zhang, Q., Liu, C., Meng, Q.H.: A novel license plate location method based on wavelet transform and emd analysis. Pattern Recogn. 48(1), 114\u2013125 (2015)","journal-title":"Pattern Recogn."}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-37731-1_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,6]],"date-time":"2020-02-06T11:22:41Z","timestamp":1580988161000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-37731-1_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,24]]},"ISBN":["9783030377304","9783030377311"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-37731-1_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019,12,24]]},"assertion":[{"value":"24 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 January 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 January 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mmm2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mmm2020.kr\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"171","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Of the 171 submissions, 46 were accepted as poster papers; of the 49 special session paper submissions, 28 were accepted for oral presentation and 8 for poster presentation; 9 demo papers and 10 VBS papers were also accepted.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}