{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T07:57:48Z","timestamp":1759564668878,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031197895"},{"type":"electronic","value":"9783031197901"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-19790-1_8","type":"book-chapter","created":{"date-parts":[[2022,10,23]],"date-time":"2022-10-23T11:02:44Z","timestamp":1666522964000},"page":"119-134","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Combining Internal and\u00a0External Constraints for\u00a0Unrolling Shutter in\u00a0Videos"],"prefix":"10.1007","author":[{"given":"Eyal","family":"Naor","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Itai","family":"Antebi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6057-4263","authenticated-orcid":false,"given":"Shai","family":"Bagon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michal","family":"Irani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,10,24]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Albl, C., Kukelova, Z., Larsson, V., Polic, M., Pajdla, T., Schindler, K.: From two rolling shutters to one global shutter. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2505\u20132513 (2020)","DOI":"10.1109\/CVPR42600.2020.00258"},{"key":"8_CR2","doi-asserted-by":"crossref","unstructured":"Bao, W., Lai, W.S., Ma, C., Zhang, X., Gao, Z., Yang, M.H.: Depth-aware video frame interpolation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3703\u20133712 (2019)","DOI":"10.1109\/CVPR.2019.00382"},{"key":"8_CR3","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","volume":"PAMI\u20138","author":"J Canny","year":"1986","unstructured":"Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. PAMI\u20138, 679\u2013698 (1986)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"8_CR4","unstructured":"Dosovitskiy, A., Ros, G., Codevilla, F., Lopez, A., Koltun, V.: CARLA: an open urban driving simulator. In: Conference on Robot Learning, pp. 1\u201316. PMLR (2017)"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Fan, B., Dai, Y.: Inverting a rolling shutter camera: bring rolling shutter images to high framerate global shutter video. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4228\u20134237 (2021)","DOI":"10.1109\/ICCV48922.2021.00419"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Fan, B., Dai, Y., He, M.: SUNet: symmetric undistortion network for rolling shutter correction. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4541\u20134550 (2021)","DOI":"10.1109\/ICCV48922.2021.00450"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Lao, Y., Ait-Aider, O.: A robust method for strong rolling shutter effects correction using lines with automatic feature selection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4795\u20134803 (2018)","DOI":"10.1109\/CVPR.2018.00504"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Liu, P., Cui, Z., Larsson, V., Pollefeys, M.: Deep shutter unrolling network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5941\u20135949 (2020)","DOI":"10.1109\/CVPR42600.2020.00598"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Liu, P., Cui, Z., Larsson, V., Pollefeys, M.: Deep shutter unrolling network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","DOI":"10.1109\/CVPR42600.2020.00598"},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Mosseri, I., Zontak, M., Irani, M.: Combining the power of internal and external denoising. In: IEEE International Conference on Computational Photography (ICCP) (2013)","DOI":"10.1109\/ICCPhot.2013.6528298"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Rengarajan, V., Balaji, Y., Rajagopalan, A.: Unrolling the shutter: CNN to correct motion distortions. In: Proceedings of the IEEE Conference on computer Vision and Pattern Recognition, pp. 2291\u20132299 (2017)","DOI":"10.1109\/CVPR.2017.252"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Rengarajan, V., Rajagopalan, A.N., Aravind, R.: From bows to arrows: rolling shutter rectification of urban scenes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2773\u20132781 (2016)","DOI":"10.1109\/CVPR.2016.303"},{"issue":"3","key":"8_CR13","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/s11263-011-0465-8","volume":"96","author":"E Ringaby","year":"2012","unstructured":"Ringaby, E., Forss\u00e9n, P.E.: Efficient video rectification and stabilisation for cell-phones. Int. J. Comput. Vis. 96(3), 335\u2013352 (2012)","journal-title":"Int. J. Comput. Vis."},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Shahar, O., Faktor, A., Irani, M.: Space-time super-resolution from a single video. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995360"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Vasu, S., Rajagopalan, A., et al.: Occlusion-aware rolling shutter rectification of 3D scenes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 636\u2013645 (2018)","DOI":"10.1109\/CVPR.2018.00073"},{"issue":"8","key":"8_CR16","doi-asserted-by":"publisher","first-page":"1106","DOI":"10.1007\/s11263-018-01144-2","volume":"127","author":"T Xue","year":"2019","unstructured":"Xue, T., Chen, B., Wu, J., Wei, D., Freeman, W.T.: Video enhancement with task-oriented flow. Int. J. Comput. Vis. (IJCV) 127(8), 1106\u20131125 (2019)","journal-title":"Int. J. Comput. Vis. (IJCV)"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Zhong, Z., Zheng, Y., Sato, I.: Towards rolling shutter correction and deblurring in dynamic scenes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9219\u20139228 (2021)","DOI":"10.1109\/CVPR46437.2021.00910"},{"key":"8_CR18","doi-asserted-by":"crossref","unstructured":"Zhuang, B., Cheong, L.F., Hee Lee, G.: Rolling-shutter-aware differential SFM and image rectification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 948\u2013956 (2017)","DOI":"10.1109\/ICCV.2017.108"},{"key":"8_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/978-3-030-58571-6_15","volume-title":"Computer Vision \u2013 ECCV 2020","author":"B Zhuang","year":"2020","unstructured":"Zhuang, B., Tran, Q.-H.: Image stitching and rectification for hand-held cameras. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12352, pp. 243\u2013260. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58571-6_15"},{"key":"8_CR20","doi-asserted-by":"crossref","unstructured":"Zhuang, B., Tran, Q.H., Ji, P., Cheong, L.F., Chandraker, M.: Learning structure-and-motion-aware rolling shutter correction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4551\u20134560 (2019)","DOI":"10.1109\/CVPR.2019.00468"},{"key":"8_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1007\/978-3-030-58571-6_4","volume-title":"Computer Vision \u2013 ECCV 2020","author":"LP Zuckerman","year":"2020","unstructured":"Zuckerman, L.P., Naor, E., Pisha, G., Bagon, S., Irani, M.: Across scales and across dimensions: temporal super-resolution using deep internal learning. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12352, pp. 52\u201368. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58571-6_4"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-19790-1_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T15:00:15Z","timestamp":1710255615000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-19790-1_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031197895","9783031197901"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-19790-1_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 October 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tel Aviv","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Israel","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2022.ecva.net\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5804","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":"1645","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":"28% - 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":"3.21","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":"3.91","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)"}}]}}