{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:13:38Z","timestamp":1743034418977,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031463075"},{"type":"electronic","value":"9783031463082"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-46308-2_35","type":"book-chapter","created":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T18:01:24Z","timestamp":1698602484000},"page":"423-434","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Semantic and\u00a0Gradient Guided Scene Text Image Super-Resolution"],"prefix":"10.1007","author":[{"given":"Chengyue","family":"Shi","sequence":"first","affiliation":[]},{"given":"Wenbo","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Jintong","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Wenming","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,30]]},"reference":[{"key":"35_CR1","unstructured":"Ma, J., Guo, S., Zhang, L.: Text prior guided scene text image super-resolution. arXiv preprint arXiv:2106.15368 (2021)"},{"key":"35_CR2","doi-asserted-by":"crossref","unstructured":"Chen, J., Yu, H., Ma, J., et al.: Text gestalt: stroke-aware scene text image super-resolution. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 1, pp. 285\u2013293 (2022)","DOI":"10.1609\/aaai.v36i1.19904"},{"key":"35_CR3","doi-asserted-by":"publisher","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 184\u2013199 (2014). https:\/\/doi.org\/10.1007\/978-3-319-10593-2_13","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"35_CR4","doi-asserted-by":"crossref","unstructured":"Kim, J., Kwon Lee, J., Mu Lee, K.: Accurate image super-resolution using very deep convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1646\u20131654 (2016)","DOI":"10.1109\/CVPR.2016.182"},{"key":"35_CR5","doi-asserted-by":"crossref","unstructured":"Lai, W.S., Huang, J.B., Ahuja, N., Yang, M.H.: Deep Laplacian pyramid networks for fast and accurate super-resolution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 624\u2013632 (2017)","DOI":"10.1109\/CVPR.2017.618"},{"key":"35_CR6","doi-asserted-by":"crossref","unstructured":"Wang, X., Yu, Y., Dong, S., Qiao, Y.: Residual dense network for image super-resolution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2472\u20132481 (2018)","DOI":"10.1109\/CVPR.2018.00262"},{"key":"35_CR7","unstructured":"Ba, J., Mnih, V., Kavukcuoglu, K.: Multiple object recognition with visual attention. arXiv preprint arXiv:1412.7755 (2014)"},{"key":"35_CR8","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: Advances in Neural Information Processing Systems (NIPS), pp. 2672\u20132680 (2014)"},{"key":"35_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1007\/978-3-030-58607-2_38","volume-title":"Computer Vision \u2013 ECCV 2020","author":"W Wang","year":"2020","unstructured":"Wang, W., et al.: Scene text image super-resolution in the wild. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12355, pp. 650\u2013666. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58607-2_38"},{"issue":"11","key":"35_CR10","doi-asserted-by":"publisher","first-page":"2298","DOI":"10.1109\/TPAMI.2016.2646371","volume":"39","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. 39(11), 2298\u20132304 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"35_CR11","doi-asserted-by":"crossref","unstructured":"Aberdam, A., et al.: Sequence-to-sequence contrastive learning for text recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15302\u201315312 (2021)","DOI":"10.1109\/CVPR46437.2021.01505"},{"key":"35_CR12","unstructured":"van den Oord, A., Li, Y., Vinyals, O.: Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 (2018)"},{"key":"35_CR13","unstructured":"Jaderberg, M., et al.: Spatial transformer networks. In: Advances in Neural Information Processing Systems, pp. 2017\u20132025 (2015)"},{"key":"35_CR14","unstructured":"Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. arXiv preprint arXiv:2002.05709 (2020)"},{"key":"35_CR15","doi-asserted-by":"crossref","unstructured":"Graves, A., Fern andez, 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 (2006)","DOI":"10.1145\/1143844.1143891"},{"key":"35_CR16","unstructured":"Wang, W., Xie, E., Sun, P., et al.: TextSR: content-aware text super-resolution guided by recognition. arXiv preprint arXiv:1909.07113 (2019)"},{"key":"35_CR17","doi-asserted-by":"crossref","unstructured":"Ma, J., Liang, Z., Zhang, L.: A text attention network for spatial deformation robust scene text image super-resolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5911\u20135920 (2022)","DOI":"10.1109\/CVPR52688.2022.00582"},{"issue":"1","key":"35_CR18","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/s100320200071","volume":"5","author":"UV Marti","year":"2002","unstructured":"Marti, U.V., Bunke, H.: The IAM-database: an English sentence database for offline handwriting recognition. Int. J. Doc. Anal. Recogn. 5(1), 39\u201346 (2002). https:\/\/doi.org\/10.1007\/s100320200071","journal-title":"Int. J. Doc. Anal. Recogn."},{"key":"35_CR19","doi-asserted-by":"crossref","unstructured":"Kleber, F., Fiel, S., Diem, M., Sablatnig, R.: CVL-Database: an off-line database for writer retrieval, writer identification and word spotting. In: 2013 12th International Conference on Document Analysis and Recognition, pp. 560\u2013564. IEEE (2013)","DOI":"10.1109\/ICDAR.2013.117"},{"key":"35_CR20","doi-asserted-by":"crossref","unstructured":"Grosicki, E., El Abed, H.: ICDAR 2009 handwriting recognition competition. In: 2009 10th International Conference on Document Analysis and Recognition, pp. 1398\u20131402. IEEE (2009)","DOI":"10.1109\/ICDAR.2009.184"},{"key":"35_CR21","doi-asserted-by":"crossref","unstructured":"Gupta, A., Vedaldi, A., Zisserman, A.: Synthetic data for text localisation in natural images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2315\u20132324 (2016)","DOI":"10.1109\/CVPR.2016.254"},{"key":"35_CR22","doi-asserted-by":"crossref","unstructured":"Mishra, A., Alahari, K., Jawahar, CV.: Scene text recognition using higher order language priors. In: BMVC-British Machine Vision Conference (2012)","DOI":"10.5244\/C.26.127"},{"issue":"1","key":"35_CR23","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/s100320200071","volume":"5","author":"U-V Marti","year":"2002","unstructured":"Marti, U.-V., Bunke, H.: The IAM-database: an English sentence database for offline handwriting recognition. Int. J. Doc. Anal. Recogn. 5(1), 39\u201346 (2002). https:\/\/doi.org\/10.1007\/s100320200071","journal-title":"Int. J. Doc. Anal. Recogn."},{"key":"35_CR24","doi-asserted-by":"crossref","unstructured":"Karatzas, D., et al.: ICDAR 2013 robust reading competition. In: 2013 12th International Conference on Document Analysis and Recognition, pp. 1484\u20131493. IEEE (2013)","DOI":"10.1109\/ICDAR.2013.221"},{"issue":"6","key":"35_CR25","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.1109\/TIP.2010.2095871","volume":"20","author":"J Sun","year":"2011","unstructured":"Sun, J., Sun, J., Xu, Z., Shum, H.: Gradient profile prior and its applications in image super-resolution and enhancement. Trans. Image Process. 20(6), 1529\u20131542 (2011)","journal-title":"Trans. Image Process."},{"issue":"18","key":"35_CR26","doi-asserted-by":"publisher","first-page":"8027","DOI":"10.1016\/j.eswa.2014.07.008","volume":"41","author":"A Risnumawan","year":"2014","unstructured":"Risnumawan, A., Shivakumara, P., Chan, C.S., Tan, C.L.: A robust arbitrary text detection system for natural scene images. Expert Syst. Appl. 41(18), 8027\u20138048 (2014)","journal-title":"Expert Syst. Appl."},{"key":"35_CR27","doi-asserted-by":"crossref","unstructured":"Karatzas, D., et al.: ICDAR 2015 competition onrobust reading. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 1156\u20131160. IEEE (2015)","DOI":"10.1109\/ICDAR.2015.7333942"},{"key":"35_CR28","unstructured":"Aberdam, A., Ganz, R., Mazor, S., et al.: Multimodal semi-supervised learning for text recognition. arXiv preprint arXiv:2205.03873 (2022)"},{"key":"35_CR29","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.neucom.2021.05.060","volume":"455","author":"C Fang","year":"2021","unstructured":"Fang, C., Zhu, Y., Liao, L., et al.: TSRGAN: real-world text image super-resolution based on adversarial learning and triplet attention. Neurocomputing 455, 88\u201396 (2021)","journal-title":"Neurocomputing"},{"key":"35_CR30","doi-asserted-by":"crossref","unstructured":"Chen, J., Li, B., Xue, X.: Scene text telescope: text-focused scene image super-resolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12026\u201312035 (2021)","DOI":"10.1109\/CVPR46437.2021.01185"},{"key":"35_CR31","doi-asserted-by":"crossref","unstructured":"Zhao, C., Feng, S., Zhao, B.N., et al.: Scene text image super-resolution via parallelly contextual attention network. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 2908\u20132917 (2021)","DOI":"10.1145\/3474085.3475469"}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-46308-2_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:46:34Z","timestamp":1730421994000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-46308-2_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031463075","9783031463082"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-46308-2_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"30 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icig2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icig2023.csig.org.cn\/","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":"Conference Management Toolkit","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"409","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":"166","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":"41% - 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":"3","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)"}}]}}