{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T06:56:09Z","timestamp":1726037769035},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030242732"},{"type":"electronic","value":"9783030242749"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-24274-9_42","type":"book-chapter","created":{"date-parts":[[2019,7,17]],"date-time":"2019-07-17T19:03:34Z","timestamp":1563390214000},"page":"463-474","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Convolutional Neural Networks for Scene Image Recognition"],"prefix":"10.1007","author":[{"given":"Yulian","family":"Li","sequence":"first","affiliation":[]},{"given":"Chao","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Hao","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Tao","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,11]]},"reference":[{"key":"42_CR1","doi-asserted-by":"crossref","unstructured":"Goel, V., Mishra, A., Alahari, K., et al.: Whole is greater than sum of parts: recognizing scene text words. In: International Conference on Document Analysis and Recognition, pp. 398\u2013402. IEEE Computer Society (2013)","DOI":"10.1109\/ICDAR.2013.87"},{"key":"42_CR2","doi-asserted-by":"crossref","unstructured":"Rodriguez-Serrano, J.A., Perronnin, F.: Label embedding for text recognition. In: BMVC (2013)","DOI":"10.5244\/C.27.5"},{"key":"42_CR3","unstructured":"Goodfellow, I.J., Bulatov, Y., Ibarz, J., et al.: Multi-digit number recognition from street view imagery using deep convolutional neural networks. Comput. Sci. (2013)"},{"key":"42_CR4","unstructured":"Goodfellow, I.J., Warde-Farley, D., Mirza, M., et al.: Maxout networks. arXiv preprint arXiv:1302.4389 (2013)"},{"key":"42_CR5","unstructured":"Yaeger, L.S., Lyon, R.F., Webb, B.J.: Effective training of a neural network character classifier for word recognition. In: Advances in Neural Information Processing Systems, pp. 807\u2013816 (1997)"},{"key":"42_CR6","unstructured":"Jaderberg, M., Simonyan, K., Vedaldi, A., et al.: Synthetic data and artificial neural networks for natural scene text recognition. Eprint Arxiv (2014)"},{"issue":"7","key":"42_CR7","doi-asserted-by":"publisher","first-page":"3142","DOI":"10.1109\/TIP.2017.2662206","volume":"26","author":"K Zhang","year":"2017","unstructured":"Zhang, K., Zuo, W., Chen, Y., et al.: Beyond a Gaussian denoiser: residual learning of deep CNN for image denoising. IEEE Trans. Image Process. 26(7), 3142\u20133155 (2017)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"42_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11263-015-0823-z","volume":"116","author":"M Jaderberg","year":"2016","unstructured":"Jaderberg, M., Simonyan, K., Vedaldi, A., et al.: Reading text in the wild with convolutional neural networks. Int. J. Comput. Vis. 116(1), 1\u201320 (2016)","journal-title":"Int. J. Comput. Vis."},{"issue":"3","key":"42_CR9","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1111\/j.2044-835X.1994.tb00638.x","volume":"12","author":"V Burden","year":"1994","unstructured":"Burden, V., Campbell, R.: The development of word-coding skills in the born deaf: an experimental study of deaf school-leavers. Br. J. Dev. Psychol. 12(3), 331\u2013349 (1994)","journal-title":"Br. J. Dev. Psychol."},{"key":"42_CR10","unstructured":"Goodfellow, I.J., Bulatov, Y., Ibarz, J., et al.: Multi-digit number recognition from street view imagery using deep convolutional neural networks. arXiv preprint arXiv:1312.6082 (2013)"},{"key":"42_CR11","unstructured":"Harrington, S.J., Klassen, R.V.: Subpixel character positioning with antialiasing with grey masking techniques: U.S. Patent 5,701,365 23 December 1997"},{"issue":"8","key":"42_CR12","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi, J., Malik, J.: Normalized cuts and image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 888\u2013905 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"42_CR13","doi-asserted-by":"publisher","first-page":"6843","DOI":"10.1016\/j.eswa.2008.08.022","volume":"36","author":"MH Aghdam","year":"2009","unstructured":"Aghdam, M.H., Ghasem-Aghaee, N., Basiri, M.E.: Text feature selection using ant colony optimization. Expert Syst. Appl. 36(3), 6843\u20136853 (2009)","journal-title":"Expert Syst. Appl."},{"issue":"20","key":"42_CR14","doi-asserted-by":"publisher","first-page":"4625","DOI":"10.1080\/01431160701241746","volume":"28","author":"J Tian","year":"2007","unstructured":"Tian, J., Chen, D.M.: Optimization in multi-scale segmentation of high-resolution satellite images for artificial feature recognition. Int. J. Remote Sens. 28(20), 4625\u20134644 (2007)","journal-title":"Int. J. Remote Sens."},{"issue":"1","key":"42_CR15","doi-asserted-by":"publisher","first-page":"167","DOI":"10.32604\/cmc.2018.02356","volume":"57","author":"W Fang","year":"2018","unstructured":"Fang, W., Zhang, F., Sheng, V.S., Ding, Y.: A method for improving CNN-based image recognition using DCGAN. CMC Comput. Mater. Continua 57(1), 167\u2013178 (2018)","journal-title":"CMC Comput. Mater. Continua"},{"issue":"7","key":"42_CR16","doi-asserted-by":"publisher","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":"42_CR17","doi-asserted-by":"crossref","unstructured":"Coates, A., Carpenter, B., Case, C., et al.: Text detection and character recognition in scene images with unsupervised feature learning. In: International Conference on Document Analysis and Recognition, pp. 440\u2013445. IEEE (2011)","DOI":"10.1109\/ICDAR.2011.95"},{"key":"42_CR18","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., et al.: Densely connected convolutional networks. In: CVPR, vol. 1, no. 2, p. 3 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"issue":"2","key":"42_CR19","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1023\/B:AURO.0000016864.12513.77","volume":"16","author":"Z Bien","year":"2004","unstructured":"Bien, Z., Chung, M.J., Chang, P.H., et al.: Integration of a rehabilitation robotic system (KARES II) with human-friendly man-machine interaction units. Auton. Rob. 16(2), 165\u2013191 (2004)","journal-title":"Auton. Rob."},{"key":"42_CR20","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Newsam, S.: DenseNet for Dense Flow, pp. 790\u2013794 (2017)","DOI":"10.1109\/ICIP.2017.8296389"},{"key":"42_CR21","unstructured":"Salakhutdinov, R., Hinton, G.E.: Replicated softmax: an undirected topic model. In: International Conference on Neural Information Processing Systems, pp. 1607\u20131614. Curran Associates Inc. (2009)"},{"key":"42_CR22","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"key":"42_CR23","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, Yu.: 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). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_4"},{"key":"42_CR24","doi-asserted-by":"crossref","unstructured":"Oquab, M., Bottou, L., Laptev, I., Sivic, J.: Learning and transferring mid-level image representations using convolutional neural networks. In: Computer Vision and Pattern Recognition, pp. 1717\u20131724 (2014)","DOI":"10.1109\/CVPR.2014.222"},{"issue":"2","key":"42_CR25","first-page":"285","volume":"56","author":"Y Zhang","year":"2018","unstructured":"Zhang, Y., Wang, Y., Li, Y., Wu, X.: Sentiment classification based on piecewise pooling convolutional neural network. CMC Comput. Mater. Continua 56(2), 285\u2013297 (2018)","journal-title":"CMC Comput. Mater. Continua"},{"key":"42_CR26","unstructured":"Krizhevsky, A., Hinton, G.: Convolutional deep belief networks on cifar-10. Unpublished Manuscript 40(7) (2010)"},{"key":"42_CR27","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN. In: IEEE International Conference on Computer Vision, pp. 1440\u20131448. IEEE (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"42_CR28","unstructured":"Huang, F., Ash, J., Langford, J., et al.: Learning Deep ResNet Blocks Sequentially using Boosting Theory (2018)"},{"key":"42_CR29","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Ioffe, S., Vanhoucke, V., et al.: Inception-v4, inception-resnet and the impact of residual connections on learning. In: AAAI, vol. 4, p. 12 (2017)","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"42_CR30","unstructured":"Abadi, M., Barham, P., Chen, J., et al.: Tensorflow: a system for large-scale machine learning. In: OSDI, vol. 16, pp. 265\u2013283 (2016)"},{"key":"42_CR31","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/978-3-7908-2604-3_16","volume-title":"Proceedings of COMPSTAT'2010","author":"L\u00e9on Bottou","year":"2010","unstructured":"Bottou, L.: Large-scale machine learning with stochastic gradient descent. In: Lechevallier, Y., Saporta, G. (eds.) Proceedings of COMPSTAT 2010, pp. 177\u2013186. Physica, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-7908-2604-3_16"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Security"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-24274-9_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T23:30:46Z","timestamp":1663975846000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-24274-9_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030242732","9783030242749"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-24274-9_42","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"11 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New York, NY","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"incodldos2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icaisconf.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}