{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T12:09:52Z","timestamp":1779365392511,"version":"3.53.0"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T00:00:00Z","timestamp":1777420800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T00:00:00Z","timestamp":1777420800000},"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":["Vis Comput"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1007\/s00371-026-04491-1","type":"journal-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T11:08:00Z","timestamp":1777460880000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Efficient sea-sky line detection via lightweight segmentation and dual multi-scale fusion"],"prefix":"10.1007","volume":"42","author":[{"given":"Jialuo","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiwu","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,4,29]]},"reference":[{"key":"4491_CR1","doi-asserted-by":"publisher","first-page":"69690","DOI":"10.1117\/12.777542","volume-title":"Signal and Data Processing of Small Targets 2008","author":"SP Broek","year":"2008","unstructured":"Broek, S.P., Bouma, H., Degache, M.A.C.: Discriminating small extended targets at sea from clutter and other classes of boats in infrared and visual light imagery. In: Drummond, O.E. (ed.) Signal and Data Processing of Small Targets 2008, vol. 6969, p. 69690. SPIE, Bellingham (2008). https:\/\/doi.org\/10.1117\/12.777542 . (International Society for Optics and Photonics)"},{"key":"4491_CR2","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.infrared.2016.01.016","volume":"76","author":"X Kong","year":"2016","unstructured":"Kong, X., Liu, L., Qian, Y., Cui, M.: Automatic detection of sea-sky horizon line and small targets in maritime infrared imagery. Infrared Phys. Technol. 76, 185\u2013199 (2016). https:\/\/doi.org\/10.1016\/j.infrared.2016.01.016","journal-title":"Infrared Phys. Technol."},{"key":"4491_CR3","doi-asserted-by":"publisher","unstructured":"Jian, L., Wen, G.: Maritime target detection and tracking. In: 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), pp. 309\u2013314 (2019). https:\/\/doi.org\/10.1109\/AUTEEE48671.2019.9033200","DOI":"10.1109\/AUTEEE48671.2019.9033200"},{"key":"4491_CR4","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1007\/3-540-45053-X_21","volume-title":"Computer Vision\u2013ECCV 2000","author":"P Voles","year":"2000","unstructured":"Voles, P., Smith, A.A.W., Teal, M.K.: Nautical scene segmentation using variable size image windows and feature space reclustering. In: Vernon, D. (ed.) Computer Vision\u2013ECCV 2000, pp. 324\u2013335. Springer, Berlin (2000). https:\/\/doi.org\/10.1007\/3-540-45053-X_21"},{"key":"4491_CR5","doi-asserted-by":"publisher","unstructured":"Gladstone, R., Moshe, Y., Barel, A., Shenhav, E.: Distance estimation for marine vehicles using a monocular video camera. In: 2016 24th European Signal Processing Conference (EUSIPCO), pp. 2405\u20132409 (2016). https:\/\/doi.org\/10.1109\/EUSIPCO.2016.7760680","DOI":"10.1109\/EUSIPCO.2016.7760680"},{"issue":"12","key":"4491_CR6","first-page":"66","volume":"47","author":"M Umair","year":"2020","unstructured":"Umair, M., Hashmani, M.A., Keiichi, H.: Rough-sea-horizon-line detection using a novel color clustering and least squares regression method. J. Hunan Univ. Nat. Sci. 47(12), 66 (2020)","journal-title":"J. Hunan Univ. Nat. Sci."},{"issue":"2","key":"4491_CR7","doi-asserted-by":"publisher","first-page":"6724","DOI":"10.1016\/j.ifacol.2023.10.377","volume":"56","author":"A Sandru","year":"2023","unstructured":"Sandru, A., Kujala, P., Visala, A.: Horizon detection and tracking in sea-ice conditions using machine vision. IFAC-PapersOnLine 56(2), 6724\u20136730 (2023). https:\/\/doi.org\/10.1016\/j.ifacol.2023.10.377. (22nd IFAC World Congress)","journal-title":"IFAC-PapersOnLine"},{"issue":"1","key":"4491_CR8","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1007\/s00773-017-0464-8","volume":"23","author":"T Praczyk","year":"2018","unstructured":"Praczyk, T.: A quick algorithm for horizon line detection in marine images. J. Mar. Sci. Technol. 23(1), 164\u2013177 (2018). https:\/\/doi.org\/10.1007\/s00773-017-0464-8","journal-title":"J. Mar. Sci. Technol."},{"key":"4491_CR9","doi-asserted-by":"crossref","unstructured":"Ahmad, T., Bebis, G., Nicolescu, M., Nefian, A., Fong, T.: An edge-less approach to horizon line detection. In: 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), pp. 1095\u20131102. IEEE (2015)","DOI":"10.1109\/ICMLA.2015.67"},{"issue":"5","key":"4491_CR10","doi-asserted-by":"publisher","first-page":"1915","DOI":"10.1007\/s00371-022-02455-9","volume":"39","author":"W Mo","year":"2023","unstructured":"Mo, W., Pei, J.: Sea-sky line detection in the infrared image based on the vertical grayscale distribution feature. Vis. Comput. 39(5), 1915\u20131927 (2023). https:\/\/doi.org\/10.1007\/s00371-022-02455-9","journal-title":"Vis. Comput."},{"key":"4491_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2023.3282656","volume":"72","author":"J Fu","year":"2023","unstructured":"Fu, J., Li, F., Zhao, J.: Real-time infrared horizon detection in maritime and land environments based on hyper-laplace filter and convolutional neural network. IEEE Trans. Instrum. Meas. 72, 1\u201313 (2023). https:\/\/doi.org\/10.1109\/TIM.2023.3282656","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"4491_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2024.105125","volume":"138","author":"C Li","year":"2024","unstructured":"Li, C., Cai, C., Zhou, W., Wu, K.: A sea-sky-line detection method for long wave infrared image based on improved swin transformer. Infrared Phys. Technol. 138, 105125 (2024)","journal-title":"Infrared Phys. Technol."},{"key":"4491_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2024.104598","volume":"153","author":"B Wang","year":"2024","unstructured":"Wang, B., Li, J., Dai, C., Zhang, W., Zhou, M.: MPSU-Net: quantitative interpretation algorithm for road cracks based on multiscale feature fusion and superimposed U-Net. Digit. Signal Process. 153, 104598 (2024). https:\/\/doi.org\/10.1016\/j.dsp.2024.104598","journal-title":"Digit. Signal Process."},{"issue":"1","key":"4491_CR14","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/s00371-024-03320-7","volume":"41","author":"X Lei","year":"2025","unstructured":"Lei, X., Chen, Z., Yu, Z., Jiang, Z.: Benet: boundary-enhanced network for real-time semantic segmentation. Vis. Comput. 41(1), 229\u2013241 (2025). https:\/\/doi.org\/10.1007\/s00371-024-03320-7","journal-title":"Vis. Comput."},{"key":"4491_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-025-04044-y","author":"N Ahmed","year":"2025","unstructured":"Ahmed, N., Tan, X., Ma, L.: D2U-Net: a dual-path hybrid UNet architecture for precise medical image segmentation. Vis. Comput. (2025). https:\/\/doi.org\/10.1007\/s00371-025-04044-y","journal-title":"Vis. Comput."},{"issue":"12","key":"4491_CR16","doi-asserted-by":"publisher","first-page":"2491","DOI":"10.1364\/JOSAA.33","volume":"33","author":"DK Prasad","year":"2016","unstructured":"Prasad, D.K., Rajan, D., Rachmawati, L., Rajabally, E., Quek, C.: Muscowert: multi-scale consistence of weighted edge radon transform for horizon detection in maritime images[dataset]. J. Opt. Soc. Am. A 33(12), 2491\u20132500 (2016). https:\/\/doi.org\/10.1364\/JOSAA.33","journal-title":"J. Opt. Soc. Am. A"},{"issue":"9","key":"4491_CR17","doi-asserted-by":"publisher","first-page":"2720","DOI":"10.1109\/TCSVT.2017.2775524","volume":"29","author":"R Ribeiro","year":"2019","unstructured":"Ribeiro, R., Cruz, G., Matos, J., Bernardino, A.: A data set for airborne maritime surveillance environments[dataset]. IEEE Trans. Circuits Syst. Video Technol. 29(9), 2720\u20132732 (2019). https:\/\/doi.org\/10.1109\/TCSVT.2017.2775524","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"4491_CR18","doi-asserted-by":"publisher","unstructured":"Zardoua, Y., Mohammed, B., Mrabet, M.E., Abdelali, A.: A fast horizon detector and a new annotated dataset for maritime video processing[dataset]. arXiv preprint arXiv:2110.13694 (2021) https:\/\/doi.org\/10.18178\/joig.12.4.345-361","DOI":"10.18178\/joig.12.4.345-361"},{"issue":"6","key":"4491_CR19","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","volume":"8","author":"J Canny","year":"1986","unstructured":"Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. PAMI 8(6), 679\u2013698 (1986). https:\/\/doi.org\/10.1109\/TPAMI.1986.4767851","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. PAMI"},{"issue":"1","key":"4491_CR20","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1145\/361237.361242","volume":"15","author":"RO Duda","year":"1972","unstructured":"Duda, R.O., Hart, P.E.: Use of the hough transformation to detect lines and curves in pictures. Commun. ACM 15(1), 11\u201315 (1972). https:\/\/doi.org\/10.1145\/361237.361242","journal-title":"Commun. ACM"},{"issue":"18","key":"4491_CR21","doi-asserted-by":"publisher","first-page":"4004","DOI":"10.3390\/s19184004","volume":"19","author":"X Shan","year":"2019","unstructured":"Shan, X., Zhao, D., Pan, M., Wang, D., Zhao, L.: Sea-sky line and its nearby ships detection based on the motion attitude of visible light sensors. Sensors 19(18), 4004 (2019). https:\/\/doi.org\/10.3390\/s19184004","journal-title":"Sensors"},{"issue":"1","key":"4491_CR22","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/TIM.2019.2893008","volume":"69","author":"D Liang","year":"2019","unstructured":"Liang, D., Liang, Y.: Horizon detection from electro-optical sensors under maritime environment. IEEE Trans. Instrum. Meas. 69(1), 45\u201353 (2019). https:\/\/doi.org\/10.1109\/TIM.2019.2893008","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"9","key":"4491_CR23","doi-asserted-by":"publisher","first-page":"24487","DOI":"10.3390\/s150924487","volume":"15","author":"S Kim","year":"2015","unstructured":"Kim, S.: Sea-based infrared scene interpretation by background type classification and coastal region detection for small target detection. Sensors 15(9), 24487\u201324513 (2015). https:\/\/doi.org\/10.3390\/s150924487","journal-title":"Sensors"},{"issue":"6","key":"4491_CR24","doi-asserted-by":"publisher","first-page":"5113","DOI":"10.1007\/s11760-024-03219-9","volume":"18","author":"N Topaloglu","year":"2024","unstructured":"Topaloglu, N.: An intensity-difference-based maritime horizon detection algorithm. SIViP 18(6), 5113\u20135120 (2024). https:\/\/doi.org\/10.1007\/s11760-024-03219-9","journal-title":"SIViP"},{"issue":"1","key":"4491_CR25","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1007\/s10489-025-07040-w","volume":"56","author":"N Zhou","year":"2026","unstructured":"Zhou, N., Luo, W., Wu, Z., Du, Y., Shi, K., Chen, B.: Bipartite graph regularized robust low-rank matrix factorization for fast semi-supervised image clustering. Appl. Intell. 56(1), 22 (2026). https:\/\/doi.org\/10.1007\/s10489-025-07040-w","journal-title":"Appl. Intell."},{"key":"4491_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.oceaneng.2012.06.028","volume":"54","author":"S Fefilatyev","year":"2012","unstructured":"Fefilatyev, S., Goldgof, D., Shreve, M., Lembke, C.: Detection and tracking of ships in open sea with rapidly moving buoy-mounted camera system. Ocean Eng. 54, 1\u201312 (2012). https:\/\/doi.org\/10.1016\/j.oceaneng.2012.06.028","journal-title":"Ocean Eng."},{"issue":"4","key":"4491_CR27","first-page":"401","volume":"7","author":"A Bhattacharyya","year":"1946","unstructured":"Bhattacharyya, A.: On a measure of divergence between two multinomial populations. Sankhy\u0101: Indian J. Stat. 7(4), 401\u2013406 (1946)","journal-title":"Sankhy\u0101: Indian J. Stat."},{"issue":"7","key":"4491_CR28","doi-asserted-by":"publisher","first-page":"155014771879075","DOI":"10.1177\/1550147718790753","volume":"14","author":"CY Jeong","year":"2018","unstructured":"Jeong, C.Y., Yang, H.S., Moon, K.: Fast horizon detection in maritime images using region-of-interest. Int. J. Distrib. Sens. Netw. 14(7), 1550147718790753 (2018). https:\/\/doi.org\/10.1177\/1550147718790753","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"4491_CR29","doi-asserted-by":"publisher","unstructured":"Ahmad, T., Bebis, G., Regentova, E.E., Nefian, A.: A machine learning approach to horizon line detection using local features. In: International Symposium on Visual Computing, pp. 181\u2013193. Springer (2013). https:\/\/doi.org\/10.1007\/978-3-642-41914-0_19","DOI":"10.1007\/978-3-642-41914-0_19"},{"key":"4491_CR30","doi-asserted-by":"publisher","unstructured":"Hung, Y.-L., Su, C.-W., Chang, Y.-H., Chang, J.-C., Tyan, H.-R.: Skyline localization for mountain images. In: 2013 IEEE International Conference on Multimedia and Expo (ICME), pp. 1\u20136. IEEE (2013). https:\/\/doi.org\/10.1109\/ICME.2013.6607424","DOI":"10.1109\/ICME.2013.6607424"},{"issue":"3","key":"4491_CR31","doi-asserted-by":"publisher","first-page":"1187","DOI":"10.1007\/s11045-018-0602-4","volume":"30","author":"C Jeong","year":"2019","unstructured":"Jeong, C., Yang, H.S., Moon, K.: A novel approach for detecting the horizon using a convolutional neural network and multi-scale edge detection. Multidimension. Syst. Signal Process. 30(3), 1187\u20131204 (2019). https:\/\/doi.org\/10.1007\/s11045-018-0602-4","journal-title":"Multidimension. Syst. Signal Process."},{"key":"4491_CR32","unstructured":"Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R., LeCun, Y.: Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312.6229 (2013). http:\/\/arxiv.org\/ abs\/1312.6229"},{"key":"4491_CR33","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TMM.2021.3120873","volume":"25","author":"X Lin","year":"2021","unstructured":"Lin, X., Sun, S., Huang, W., Sheng, B., Li, P., Feng, D.D.: EAPT: efficient attention pyramid transformer for image processing. IEEE Trans. Multimedia 25, 50\u201361 (2021). https:\/\/doi.org\/10.1109\/TMM.2021.3120873","journal-title":"IEEE Trans. Multimedia"},{"issue":"5","key":"4491_CR34","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1016\/j.vrih.2022.08.007","volume":"4","author":"Y Zhao","year":"2022","unstructured":"Zhao, Y., Zhang, H., Lu, P., Li, P., Wu, E., Sheng, B.: Dsd-matchingnet: deformable sparse-to-dense feature matching for learning accurate correspondences. Virtual Real. Intell. Hardw. 4(5), 432\u2013443 (2022). https:\/\/doi.org\/10.1016\/j.vrih.2022.08.007","journal-title":"Virtual Real. Intell. Hardw."},{"key":"4491_CR35","doi-asserted-by":"publisher","first-page":"6198","DOI":"10.1109\/TMM.2025","volume":"27","author":"Y Wen","year":"2025","unstructured":"Wen, Y., Luo, B., Shi, W., Ji, J., Cao, W., Yang, X., Sheng, B.: Sat-net: structure-aware transformer-based attention fusion network for low-quality retinal funduimages enhancement. IEEE Trans. Multimedia 27, 6198\u20136210 (2025). https:\/\/doi.org\/10.1109\/TMM.2025","journal-title":"IEEE Trans. Multimedia"},{"key":"4491_CR36","doi-asserted-by":"publisher","unstructured":"Lin, C., Zou, C., Xu, H.: SCNet: a dual-branch network for strong noisy image denoising based on Swin transformer and ConvNeXt. Comput. Animat. Virtual Worlds 36(3), 70030 (2025). https:\/\/doi.org\/10.1002\/cav.70030","DOI":"10.1002\/cav.70030"},{"issue":"2","key":"4491_CR37","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1007\/s40747-024-01762-z","volume":"11","author":"Y Xie","year":"2025","unstructured":"Xie, Y., Ou, J., Wen, B., Yu, Z., Tian, W.: A joint learning method for low-light facial expression recognition. Complex Intell. Syst. 11(2), 139 (2025). https:\/\/doi.org\/10.1007\/s40747-024-01762-z","journal-title":"Complex Intell. Syst."},{"key":"4491_CR38","first-page":"234","volume-title":"Medical Image Computing and Computer-Assisted Intervention - 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.) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, pp. 234\u2013241. Springer, Cham (2015)"},{"key":"4491_CR39","doi-asserted-by":"publisher","unstructured":"Lu, W., Chen, S., Li, H., Shu, Q., Ding, C., Tang, J., Luo, B.: Legnet: Lightweight edge-gaussian driven network for low-quality remote sensing image object detection. arxiv 2025. arXiv preprint arXiv:2503.14012 (2025). https:\/\/doi.org\/10.48550\/arXiv.2503.14012","DOI":"10.48550\/arXiv.2503.14012"},{"key":"4491_CR40","doi-asserted-by":"crossref","unstructured":"Liu, H., Liu, F., Fan, X., Huang, D.: Polarized self-attention: Towards high-quality pixel-wise regression. arxiv 2021. arXiv preprint arXiv:2107.00782 (2017)","DOI":"10.1016\/j.neucom.2022.07.054"},{"issue":"1","key":"4491_CR41","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1109\/TCDS.2025.3590031","volume":"18","author":"N Zhou","year":"2026","unstructured":"Zhou, N., Jika, L., Wang, W., Xie, Y., Du, Y., Soh, Y.C.: BERN: A novel framework for enhanced emotion recognition through the integration of EEG and eye movement features. IEEE Trans. Cogn. Dev. Syst. 18(1), 263\u2013275 (2026)","journal-title":"IEEE Trans. Cogn. Dev. Syst."},{"key":"4491_CR42","doi-asserted-by":"crossref","unstructured":"Wang, Q., Wu, B., Zhu, P., Li, P., Zuo, W., Hu, Q.: ECA-Net: Efficient channel attention for deep convolutional neural networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11534\u201311542 (2020)","DOI":"10.1109\/CVPR42600.2020.01155"},{"issue":"2","key":"4491_CR43","doi-asserted-by":"publisher","first-page":"193","DOI":"10.3390\/jmse10020193","volume":"10","author":"MA Hashmani","year":"2022","unstructured":"Hashmani, M.A., Umair, M.: A novel visual-range sea image dataset for sea horizon line detection in changing maritime scenes[dataset]. J. Marine Sci. Eng. 10(2), 193 (2022). https:\/\/doi.org\/10.3390\/jmse10020193","journal-title":"J. Marine Sci. Eng."},{"key":"4491_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2026.113830","volume":"167","author":"N Zhou","year":"2026","unstructured":"Zhou, N., Deng, Q., Luo, W., Huang, X., Du, Y., Chen, B., Pedrycz, W.: Correntropy meets cross-entropy: a robust loss against noisy labels. Eng. Appl. Artif. Intell. 167, 113830 (2026). https:\/\/doi.org\/10.1016\/j.engappai.2026.113830","journal-title":"Eng. Appl. Artif. Intell."},{"key":"4491_CR45","unstructured":"Oktay, O., Schlemper, J., Folgoc, L.L., Lee, M., Heinrich, M., Misawa, K., Mori, K., McDonagh, S., Hammerla, N.Y., Kainz, B., Attention u-net: Learning where to look for the pancreas. arXiv preprint arXiv:1804.03999 (2018)"},{"key":"4491_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2025.108611","volume":"261","author":"J Zhong","year":"2025","unstructured":"Zhong, J., Tian, W., Xie, Y., Liu, Z., Ou, J., Tian, T., Zhang, L.: PMFSNet: polarized multi-scale feature self-attention network for lightweight medical image segmentation. Comput. Methods Programs Biomed. 261, 108611 (2025). https:\/\/doi.org\/10.1016\/j.cmpb.2025.108611","journal-title":"Comput. Methods Programs Biomed."},{"key":"4491_CR47","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-024-03767-8","author":"A Agaoglu","year":"2025","unstructured":"Agaoglu, A., Topaloglu, N.: Dynamic region of interest generation for maritime horizon line detection using time series analysis. Vis. Comput. (2025). https:\/\/doi.org\/10.1007\/s00371-024-03767-8","journal-title":"Vis. Comput."}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-026-04491-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-026-04491-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-026-04491-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T11:43:10Z","timestamp":1779363790000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-026-04491-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,29]]},"references-count":47,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,5]]}},"alternative-id":["4491"],"URL":"https:\/\/doi.org\/10.1007\/s00371-026-04491-1","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,29]]},"assertion":[{"value":"1 December 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 April 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 April 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"275"}}