{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T06:34:14Z","timestamp":1743057254092,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031082764"},{"type":"electronic","value":"9783031082771"}],"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\/978-3-031-08277-1_4","type":"book-chapter","created":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T12:13:01Z","timestamp":1655381581000},"page":"43-50","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Hybrid Method for\u00a0Window Detection on\u00a0High Resolution Facade Images"],"prefix":"10.1007","author":[{"given":"Kujtim","family":"Rahmani","sequence":"first","affiliation":[]},{"given":"Helmut","family":"Mayer","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,17]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Ali, H., Seifert, C., Jindal, N., Paletta, L., Paar, G.: Window detection in facades. In: International Conference on Image Analysis and Processing, pp. 837\u2013842 (2007)","DOI":"10.1109\/ICIAP.2007.4362880"},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Hensel, S., Goebbels, S., Kada, M.: Facade reconstruction for textured LoD2 CityGML models based on deep learning and mixed integer linear programming. ISPRS Ann. Photogrammetry Remote Sens. Spat. Inf. Sci. 4 (2019)","DOI":"10.5194\/isprs-annals-IV-2-W5-37-2019"},{"key":"4_CR3","unstructured":"Hu, H., Wang, L., Zhang, M., Ding, Y., Zhu, Q.: Fast and regularized reconstruction of building facades from street-view images using binary integer programming. arXiv preprint arXiv:2002.08549 (2020)"},{"key":"4_CR4","unstructured":"Lazebnik, S.: Ultralytics. YOLOv5. https:\/\/github.com\/ultralytics\/yolov5"},{"key":"4_CR5","unstructured":"Lee, S.C., Nevatia, R.: Extraction and integration of window in a 3D building model from ground view images. In: Computer Vision and Pattern Recognition, vol. 2, p. II (2004)"},{"key":"4_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/978-3-319-45886-1_13","volume-title":"Pattern Recognition","author":"A Ley","year":"2016","unstructured":"Ley, A., Hellwich, O.: Depth map based facade abstraction from noisy multi-view stereo point clouds. In: Rosenhahn, B., Andres, B. (eds.) GCPR 2016. LNCS, vol. 9796, pp. 155\u2013165. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45886-1_13"},{"issue":"4","key":"4_CR7","doi-asserted-by":"publisher","first-page":"900","DOI":"10.1007\/s11390-020-0253-4","volume":"35","author":"CK Li","year":"2020","unstructured":"Li, C.K., Zhang, H.X., Liu, J.X., Zhang, Y.Q., Zou, S.C., Fang, Y.T.: Window detection in facades using heatmap fusion. J. Comput. Sci. Technol. 35(4), 900\u2013912 (2020)","journal-title":"J. Comput. Sci. Technol."},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Liu, H., Zhang, J., Zhu, J., Hoi, S.C.H.: DeepFacade: a deep learning approach to facade parsing. In: International Joint Conference on Artificial Intelligence, pp. 2301\u20132307 (2017)","DOI":"10.24963\/ijcai.2017\/320"},{"issue":"2","key":"4_CR9","first-page":"855","volume":"14","author":"W Ma","year":"2020","unstructured":"Ma, W., Ma, W.: Deep window detection in street scenes. KSII Trans. Internet Inf. Syst. (TIIS) 14(2), 855\u2013870 (2020)","journal-title":"KSII Trans. Internet Inf. Syst. (TIIS)"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Martinovic, A., Van Gool, L.: Bayesian grammar learning for inverse procedural modeling. In: Computer Vision and Pattern Recognition, pp. 201\u2013208 (2013)","DOI":"10.1109\/CVPR.2013.33"},{"key":"4_CR11","doi-asserted-by":"publisher","first-page":"175","DOI":"10.5194\/isprs-annals-IV-1-W1-175-2017","volume":"4","author":"K Rahmani","year":"2017","unstructured":"Rahmani, K., Huang, H., Mayer, H.: Facade segmentation with a structured random forest. ISPRS Ann. Photogrammetry Remote Sens. Spat. Inf. Sci. 4, 175\u2013181 (2017)","journal-title":"ISPRS Ann. Photogrammetry Remote Sens. Spat. Inf. Sci."},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Rahmani, K., Mayer, H.: High quality facade segmentation based on structured random forest, region proposal network and rectangular fitting. ISPRS Ann. Photogrammetry Remote Sens. Spat. Inf. Sci. 4(2) (2018)","DOI":"10.5194\/isprs-annals-IV-2-223-2018"},{"key":"4_CR13","unstructured":"Redmon, J., Farhadi, A.: YOLOv3: an incremental improvement. arXiv preprint arXiv:1804.02767 (2018)"},{"key":"4_CR14","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems, pp. 91\u201399 (2015)"},{"key":"4_CR15","unstructured":"Reznik, S., Mayer, H.: Implicit shape models, self-diagnosis, and model selection for 3D fa\u00e7ade interpretation. Photogrammetrie Fernerkundung Geoinformation, pp. 187\u2013196 (2008)"},{"key":"4_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1007\/978-3-319-10602-1_34","volume-title":"Computer Vision \u2013 ECCV 2014","author":"H Riemenschneider","year":"2014","unstructured":"Riemenschneider, H., B\u00f3dis-Szomor\u00fa, A., Weissenberg, J., Van Gool, L.: Learning where to classify in multi-view semantic segmentation. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 516\u2013532. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_34"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Riemenschneider, H., et al.: Irregular lattices for complex shape grammar facade parsing. In: Computer Vision and Pattern Recognition, pp. 1640\u20131647 (2012)","DOI":"10.1109\/CVPR.2012.6247857"},{"issue":"1\u20133","key":"4_CR18","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/s11263-007-0090-8","volume":"77","author":"BC Russell","year":"2008","unstructured":"Russell, B.C., Torralba, A., Murphy, K.P., Freeman, W.T.: LabelMe: a database and web-based tool for image annotation. Int. J. Comput. Vis. 77(1\u20133), 157\u2013173 (2008)","journal-title":"Int. J. Comput. Vis."},{"issue":"133","key":"4_CR19","doi-asserted-by":"publisher","first-page":"709","DOI":"10.5194\/isprs-archives-XLI-B3-709-2016","volume":"XLI","author":"M Schmitz","year":"2016","unstructured":"Schmitz, M., Mayer, H.: A convolutional network for semantic facade segmentation and interpretation. Int. Arch. Photogrammetry Remote Sens. Spat. Inf. Sci. XLI(133), 709\u2013715 (2016)","journal-title":"Int. Arch. Photogrammetry Remote Sens. Spat. Inf. Sci."},{"key":"4_CR20","doi-asserted-by":"crossref","unstructured":"Teboul, O., Kokkinos, I., Simon, L., Koutsourakis, P., Paragios, N.: Shape grammar parsing via reinforcement learning. In: Computer Vision and Pattern Recognition, pp. 2273\u20132280 (2011)","DOI":"10.1109\/CVPR.2011.5995319"}],"container-title":["Communications in Computer and Information Science","Intelligent Systems and Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-08277-1_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T12:16:17Z","timestamp":1655381777000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-08277-1_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031082764","9783031082771"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-08277-1_4","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"17 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems and Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hammamet","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tunisia","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":"24 March 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 March 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ispr22022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ispr2022.sciencesconf.org\/","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":"91","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":"22","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":"10","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":"24% - 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)"}},{"value":"Due to the COVID-19 pandemic the conference was held online.","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)"}}]}}