{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T23:23:10Z","timestamp":1742944990885,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030377335"},{"type":"electronic","value":"9783030377342"}],"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\/978-3-030-37734-2_10","type":"book-chapter","created":{"date-parts":[[2019,12,26]],"date-time":"2019-12-26T19:03:00Z","timestamp":1577386980000},"page":"112-124","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Deep Convolutional Deblurring and Detection Neural Network for Localizing Text in Videos"],"prefix":"10.1007","author":[{"given":"Yang","family":"Wang","sequence":"first","affiliation":[]},{"given":"Ye","family":"Qian","sequence":"additional","affiliation":[]},{"given":"Jiahao","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Su","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,12,24]]},"reference":[{"issue":"4","key":"10_CR1","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1145\/2185520.2185560","volume":"31","author":"S Cho","year":"2012","unstructured":"Cho, S., Wang, J., Lee, S.: Video deblurring for hand-held cameras using patch-based synthesis. ACM Trans. Graph. (TOG) 31(4), 64 (2012)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Dai, J., et al.: Deformable convolutional networks. In: ICCV, October 2017","DOI":"10.1109\/ICCV.2017.89"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Delbracio, M., Sapiro, G.: Burst deblurring: removing camera shake through fourier burst accumulation. In: CVPR, pp. 2385\u20132393 (2015)","DOI":"10.1109\/CVPR.2015.7298852"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Epshtein, B., Ofek, E., Wexler, Y.: Detecting text in natural scenes with stroke width transform. In: CVPR, pp. 2963\u20132970 (2010)","DOI":"10.1109\/CVPR.2010.5540041"},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"He, P., Huang, W., He, T., Zhu, Q., Qiao, Y., Li, X.: Single shot text detector with regional attention. In: ICCV, pp. 3047\u20133055 (2017)","DOI":"10.1109\/ICCV.2017.331"},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Karatzas, D., et al.: ICDAR 2013 robust reading competition. In: ICDAR, pp. 1484\u20131493 (2013)","DOI":"10.1109\/ICDAR.2013.221"},{"issue":"15","key":"10_CR8","doi-asserted-by":"publisher","first-page":"16625","DOI":"10.1007\/s11042-016-3941-x","volume":"76","author":"V Khare","year":"2017","unstructured":"Khare, V., Shivakumara, P., Paramesran, R., Blumenstein, M.: Arbitrarily-oriented multi-lingual text detection in video. Multimedia Tools Appl. 76(15), 16625\u201316655 (2017)","journal-title":"Multimedia Tools Appl."},{"issue":"21","key":"10_CR9","doi-asserted-by":"publisher","first-page":"7627","DOI":"10.1016\/j.eswa.2015.06.002","volume":"42","author":"V Khare","year":"2015","unstructured":"Khare, V., Shivakumara, P., Raveendran, P.: A new histogram oriented moments descriptor for multi-oriented moving text detection in video. Expert Syst. Appl. 42(21), 7627\u20137640 (2015)","journal-title":"Expert Syst. Appl."},{"key":"10_CR10","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.patcog.2016.01.008","volume":"54","author":"Vijeta Khare","year":"2016","unstructured":"Khare, V., Shivakumara, P., Raveendran, P., Blumenstein, M.: A blind deconvolution model for scene text detection and recognition in video. Pattern Recogn. 54(C), 128\u2013148 (2016)","journal-title":"Pattern Recognition"},{"issue":"10","key":"10_CR11","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1016\/j.imavis.2004.02.006","volume":"22","author":"J Matas","year":"2004","unstructured":"Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide-baseline stereo from maximally stable extremal regions. IVC 22(10), 761\u2013767 (2004)","journal-title":"IVC"},{"key":"10_CR12","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS, pp. 91\u201399 (2015)"},{"key":"10_CR13","doi-asserted-by":"crossref","unstructured":"Shi, B., Bai, X., Belongie, S.: Detecting oriented text in natural images by linking segments. In: CVPR, pp. 3482\u20133490 (2017)","DOI":"10.1109\/CVPR.2017.371"},{"issue":"11","key":"10_CR14","first-page":"1520","volume":"20","author":"P Shivakumara","year":"2010","unstructured":"Shivakumara, P., Phan, T.Q., Tan, C.L.: New fourier-statistical features in RGB space for video text detection. IEEE TCSVT 20(11), 1520\u20131532 (2010)","journal-title":"IEEE TCSVT"},{"issue":"8","key":"10_CR15","first-page":"1227","volume":"22","author":"P Shivakumara","year":"2012","unstructured":"Shivakumara, P., Sreedhar, R.P., Phan, T.Q., Lu, S., Tan, C.L.: Multioriented video scene text detection through Bayesian classification and boundary growing. IEEE TCSVT 22(8), 1227\u20131235 (2012)","journal-title":"IEEE TCSVT"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Su, S., Delbracio, M., Wang, J., Sapiro, G., Heidrich, W., Wang, O.: Deep video deblurring for hand-held cameras. In: CVPR, pp. 1279\u20131288, July 2017","DOI":"10.1109\/CVPR.2017.33"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Tian, S., Pan, Y., Huang, C., Lu, S., Yu, K., Tan, C.L.: Text flow: a unified text detection system in natural scene images. In: ICCV, pp. 4651\u20134659 (2015)","DOI":"10.1109\/ICCV.2015.528"},{"key":"10_CR18","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). \nhttps:\/\/doi.org\/10.1007\/978-3-319-46484-8_4"},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Wang, L., Wang, Y., Shan, S., Su, F.: Scene text detection and tracking in video with background cues. In: ICMR, pp. 160\u2013168 (2018)","DOI":"10.1145\/3206025.3206051"},{"issue":"7","key":"10_CR20","first-page":"3235","volume":"26","author":"C Yang","year":"2017","unstructured":"Yang, C., et al.: Tracking based multi-orientation scene text detection: a unified framework with dynamic programming. IEEE TIP 26(7), 3235\u20133248 (2017)","journal-title":"IEEE TIP"},{"issue":"5","key":"10_CR21","doi-asserted-by":"publisher","first-page":"970","DOI":"10.1109\/TPAMI.2013.182","volume":"36","author":"XC Yin","year":"2014","unstructured":"Yin, X.C., Yin, X., Huang, K., Hao, H.W.: Robust text detection in natural scene images. IEEE TPAMI 36(5), 970\u2013983 (2014)","journal-title":"IEEE TPAMI"},{"issue":"3","key":"10_CR22","first-page":"790","volume":"20","author":"X Zhao","year":"2011","unstructured":"Zhao, X., Lin, K.H., Fu, Y., Hu, Y., Liu, Y., Huang, T.S.: Text from corners: a novel approach to detect text and caption in videos. IEEE TIP 20(3), 790\u2013799 (2011)","journal-title":"IEEE TIP"},{"key":"10_CR23","doi-asserted-by":"crossref","unstructured":"Zhou, X., et al.: EAST: an efficient and accurate scene text detector. In: CVPR, pp. 2642\u20132651 (2017)","DOI":"10.1109\/CVPR.2017.283"}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-37734-2_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,6]],"date-time":"2020-02-06T13:08:59Z","timestamp":1580994539000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-37734-2_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,24]]},"ISBN":["9783030377335","9783030377342"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-37734-2_10","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)"}}]}}