{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T20:45:13Z","timestamp":1725914713286},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319700892"},{"type":"electronic","value":"9783319700908"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-70090-8_30","type":"book-chapter","created":{"date-parts":[[2017,10,27]],"date-time":"2017-10-27T04:33:39Z","timestamp":1509078819000},"page":"291-299","source":"Crossref","is-referenced-by-count":1,"title":["End-to-End Scene Text Recognition with Character Centroid Prediction"],"prefix":"10.1007","author":[{"given":"Wei","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinwen","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,28]]},"reference":[{"issue":"7","key":"30_CR1","doi-asserted-by":"crossref","first-page":"1480","DOI":"10.1109\/TPAMI.2014.2366765","volume":"37","author":"Q Ye","year":"2015","unstructured":"Ye, Q., Doermann, D.: Text detection and recognition in imagery: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 37(7), 1480\u20131500 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"30_CR2","unstructured":"Ren, S., He, K., Girshick, R., et al.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems, vol. 28, pp. 91\u201399 (2015)"},{"key":"30_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1007\/978-3-319-46484-8_4","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Z Tian","year":"2016","unstructured":"Tian, Z., Huang, W., He, T., He, P., Qiao, Y.: Detecting text in natural image with connectionist text proposal network. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 56\u201372. Springer, Cham (2016). doi: 10.1007\/978-3-319-46484-8_4"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Zhu, S., Zanibbi, R.: A text detection system for natural scenes with convolutional feature learning and cascaded classification. In: Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), pp. 625\u2013632 (2015)","DOI":"10.1109\/CVPR.2016.74"},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Zhang, C., Shen, W., et al.: Multi-oriented text detection with fully convolutional networks. In: Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), pp. 4159\u20134167 (2016)","DOI":"10.1109\/CVPR.2016.451"},{"issue":"99","key":"30_CR6","first-page":"1","volume":"PP","author":"B Shi","year":"2016","unstructured":"Shi, B., Bai, X., Yao, C.: An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition. IEEE Trans. Pattern Anal. Mach. Intell. PP(99), 1 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"30_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Doll\u00e1r, P., Zitnick, C.L.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740\u2013755. Springer, Cham (2014). doi: 10.1007\/978-3-319-10602-1_48"},{"key":"30_CR8","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Fidler, S., Urtasun, R.: Instance-level segmentation for autonomous driving with deep densely connected mrfs. In: Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), pp. 669\u2013677 (2016)","DOI":"10.1109\/CVPR.2016.79"},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Dai, J., He, K., Sun, J.: Instance-aware semantic segmentation via multi-task network cascades. In: Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), pp. 3150\u20133158 (2016)","DOI":"10.1109\/CVPR.2016.343"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., et al.: Deep residual learning for image recognition. In: Proceedings of 2016 IEEE conference on Computer Vision and Pattern Recognition (CVPR 2016), pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Gupta, A., Vedaldi, A., Zisserman, A.: Synthetic data for text localisation in natural images. In: Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), pp. 2315\u20132324 (2016)","DOI":"10.1109\/CVPR.2016.254"},{"key":"30_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/978-3-319-16631-5_7","volume-title":"Computer Vision - ACCV 2014 Workshops","author":"A Zamberletti","year":"2015","unstructured":"Zamberletti, A., Noce, L., Gallo, I.: Text localization based on fast feature pyramids and multi-resolution maximally stable extremal regions. In: Jawahar, C.V., Shan, S. (eds.) ACCV 2014. LNCS, vol. 9009, pp. 91\u2013105. Springer, Cham (2015). doi: 10.1007\/978-3-319-16631-5_7"},{"key":"30_CR14","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Shen, W., Yao, C., et al.: Symmetry-based text line detection in natural scenes. In: Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), pp. 2558\u20132567 (2015)","DOI":"10.1109\/CVPR.2015.7298871"},{"key":"30_CR15","doi-asserted-by":"crossref","unstructured":"Karatzas, D., Shafait, F., Uchida, S., et al.: ICDAR 2013 robust reading competition. In: Proceedings of 2013 International Conference on Document Analysis and Recognition, pp. 1484\u20131493 (2013)","DOI":"10.1109\/ICDAR.2013.221"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Liao, M., Shi, B., Bai, X., et al.: TextBoxes: a fast text detector with a single deep neural network. In: Prooceedings of AAAI 2017, pp. 4161\u20134167 (2017)","DOI":"10.1609\/aaai.v31i1.11196"},{"key":"30_CR17","doi-asserted-by":"crossref","unstructured":"Jaderberg, M., Simonyan, K., Vedaldi, A., et al.: Reading text in the wild with convolutional neural networks. arXiv preprint arXiv:1412.1842 (2014)","DOI":"10.1007\/s11263-015-0823-z"},{"key":"30_CR18","unstructured":"Jaderberg, M., Simonyan, K., Vedaldi, A., et al.: Synthetic data and artificial neural networks for natural scene text recognition. arXiv preprint arXiv:1406.2227 (2014)"},{"issue":"5","key":"30_CR19","doi-asserted-by":"crossref","first-page":"970","DOI":"10.1109\/TPAMI.2013.182","volume":"36","author":"XC Yin","year":"2014","unstructured":"Yin, X.C., Yin, X., Huang, K., et al.: Robust text detection in natural scene images. IEEE Trans. Pattern Anal. Mach. Intell. 36(5), 970\u2013983 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70090-8_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T17:21:45Z","timestamp":1659720105000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-70090-8_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319700892","9783319700908"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70090-8_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}