{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T16:19:06Z","timestamp":1758125946835,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031366154"},{"type":"electronic","value":"9783031366161"}],"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\/978-3-031-36616-1_35","type":"book-chapter","created":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T18:03:41Z","timestamp":1687629821000},"page":"442-453","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Hierarchical Line Extremity Segmentation U-Net for\u00a0the\u00a0SoccerNet 2022 Calibration Challenge - Pitch Localization"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9469-4928","authenticated-orcid":false,"given":"Miguel","family":"Santos Marques","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5974-3361","authenticated-orcid":false,"given":"Ricardo","family":"Gomes Faria","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4544-4698","authenticated-orcid":false,"given":"Jos\u00e9 Henrique","family":"Brito","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,25]]},"reference":[{"key":"35_CR1","unstructured":"Soccernet camera calibration challenge development kit. https:\/\/github.com\/SoccerNet\/sn-calibration. Accessed 30 Jan 2023"},{"key":"35_CR2","unstructured":"Soccernet field localization challenge. https:\/\/www.soccer-net.org\/tasks\/field-localization. Accessed 30 Jan 2023"},{"key":"35_CR3","doi-asserted-by":"crossref","unstructured":"Cioppa, A., et al.: Camera calibration and player localization in SoccerNet-v2 and investigation of their representations for action spotting. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 4537\u20134546 (2021)","DOI":"10.1109\/CVPRW53098.2021.00511"},{"issue":"7","key":"35_CR4","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1109\/TIP.2003.812758","volume":"12","author":"A Ekin","year":"2003","unstructured":"Ekin, A., Tekalp, A., Mehrotra, R.: Automatic soccer video analysis and summarization. IEEE Trans. Image Process. 12(7), 796\u2013807 (2003)","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"35_CR5","doi-asserted-by":"publisher","first-page":"1811","DOI":"10.1007\/s11554-020-00968-x","volume":"17","author":"X Fu","year":"2020","unstructured":"Fu, X., Zhang, K., Wang, C., Fan, C.: Multiple player tracking in basketball court videos. J. Real-Time Image Proc. 17(6), 1811\u20131828 (2020). https:\/\/doi.org\/10.1007\/s11554-020-00968-x","journal-title":"J. Real-Time Image Proc."},{"issue":"4","key":"35_CR6","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1016\/j.neucom.2010.09.013","volume":"74","author":"X Gao","year":"2011","unstructured":"Gao, X., Niu, Z., Tao, D., Li, X.: Non-goal scene analysis for soccer video. Neurocomputing 74(4), 540\u2013548 (2011)","journal-title":"Neurocomputing"},{"issue":"4","key":"35_CR7","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1016\/j.imavis.2008.06.015","volume":"27","author":"SH Khatoonabadi","year":"2009","unstructured":"Khatoonabadi, S.H., Rahmati, M.: Automatic soccer players tracking in goal scenes by camera motion elimination. Image Vis. Comput. 27(4), 469\u2013479 (2009)","journal-title":"Image Vis. Comput."},{"issue":"10","key":"35_CR8","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.1016\/j.imavis.2006.04.001","volume":"24","author":"Y Liu","year":"2006","unstructured":"Liu, Y., Liang, D., Huang, Q., Gao, W.: Extracting 3D information from broadcast soccer video. Image Vis. Comput. 24(10), 1146\u20131162 (2006)","journal-title":"Image Vis. Comput."},{"issue":"5","key":"35_CR9","doi-asserted-by":"publisher","first-page":"1937","DOI":"10.1016\/j.patcog.2011.10.023","volume":"45","author":"Z Niu","year":"2012","unstructured":"Niu, Z., Gao, X., Tian, Q.: Tactic analysis based on real-world ball trajectory in soccer video. Pattern Recogn. 45(5), 1937\u20131947 (2012)","journal-title":"Pattern Recogn."},{"issue":"5","key":"35_CR10","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1016\/j.cviu.2008.01.007","volume":"113","author":"J Ren","year":"2009","unstructured":"Ren, J., Orwell, J., Jones, G.A., Xu, M.: Tracking the soccer ball using multiple fixed cameras. Comput. Vis. Image Underst. 113(5), 633\u2013642 (2009)","journal-title":"Comput. Vis. Image Underst."},{"key":"35_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"35_CR12","doi-asserted-by":"crossref","unstructured":"Yu, X., Xu, C., Leong, H.W., Tian, Q., Tang, Q., Wan, K.W.: Trajectory-based ball detection and tracking with applications to semantic analysis of broadcast soccer video. In: Proceedings of the Eleventh ACM International Conference on Multimedia, pp. 11\u201320. Association for Computing Machinery (2003)","DOI":"10.1145\/957013.957018"},{"key":"35_CR13","unstructured":"zhixuhao: Unet. https:\/\/github.com\/zhixuhao\/unet (2017). Accessed 30 Jan 2023"},{"key":"35_CR14","unstructured":"\u00c5keborg, E.: Automating feature-extraction for camera calibration through machine learning and computer vision (2021). Master thesis. https:\/\/lup.lub.lu.se\/student-papers\/search\/publication\/9054961. Accessed 31 Jan 2023"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36616-1_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T18:11:31Z","timestamp":1687630291000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36616-1_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031366154","9783031366161"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36616-1_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":"25 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IbPRIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberian Conference on Pattern Recognition and Image Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Alicante","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"27 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ibpria2022b","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"86","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":"56","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":"65% - 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":"2.9","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":"2.2","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)"}}]}}