{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T10:37:03Z","timestamp":1773225423472,"version":"3.50.1"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T00:00:00Z","timestamp":1773100800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T00:00:00Z","timestamp":1773100800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"General Natural Science Foundation of Shandong Province","award":["ZR2023MF075, ZR2023MF039"],"award-info":[{"award-number":["ZR2023MF075, ZR2023MF039"]}]},{"name":"Youth Natural Science Foundation of Shandong Province","award":["ZR2018BF012"],"award-info":[{"award-number":["ZR2018BF012"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["60903098"],"award-info":[{"award-number":["60903098"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1007\/s00530-026-02269-y","type":"journal-article","created":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T14:04:20Z","timestamp":1773151460000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Scganet: finger vein recognition based on SCGA modules with a two-way cascade structure"],"prefix":"10.1007","volume":"32","author":[{"given":"Zhixian","family":"Peng","sequence":"first","affiliation":[]},{"given":"Xianjing","family":"Meng","sequence":"additional","affiliation":[]},{"given":"Chi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Qian","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Leilei","family":"Geng","sequence":"additional","affiliation":[]},{"given":"Xiaoming","family":"Xi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,3,10]]},"reference":[{"issue":"01","key":"2269_CR1","doi-asserted-by":"publisher","first-page":"2250013","DOI":"10.1142\/S0219467822500139","volume":"22","author":"A Boucetta","year":"2022","unstructured":"Boucetta, A., Boussaad, L.: Biometric authentication using finger-vein patterns with deep-learning and discriminant correlation analysis. Int. J. Image Graph 22(01), 2250013 (2022)","journal-title":"Int. J. Image Graph"},{"key":"2269_CR2","doi-asserted-by":"crossref","unstructured":"Chang, J., Lai, T., Yang, L., Fang, C., Li, Z., Fujita, H.: Fv-dgnn: A distance-based graph neural network for finger vein recognition. IEEE Trans. Instrum. Meas. (2023)","DOI":"10.1109\/TIM.2023.3301062"},{"key":"2269_CR3","unstructured":"Chen, Z., Liu, J., Cao, C., Jin, C., Kim, H.: Fv-upatches: Enhancing universality in finger vein recognition. arXiv preprint arXiv:2206.01061, 2022"},{"issue":"2","key":"2269_CR4","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1109\/TIFS.2018.2850320","volume":"14","author":"R Das","year":"2018","unstructured":"Das, R., Piciucco, E., Maiorana, E., Campisi, P.: Convolutional neural network for finger-vein-based biometric identification. IEEE Trans. Inf. Forensics Secur. 14(2), 360\u2013373 (2018)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2269_CR5","doi-asserted-by":"publisher","first-page":"1410","DOI":"10.1109\/TIFS.2020.3033184","volume":"16","author":"Q Deng","year":"2020","unstructured":"Deng, Q., Li, Q., Cao, J., Liu, Y., Sun, Z.: Controllable multi-attribute editing of high-resolution face images. IEEE Trans. Inf. Forensics Secur. 16, 1410\u20131423 (2020)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2269_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.csi.2024.103937","volume":"92","author":"Z Guo","year":"2025","unstructured":"Guo, Z., Ma, H., Li, A.: A lightweight finger multimodal recognition model based on detail optimization and perceptual compensation embedding. Comput. Stand. Interfaces 92, 103937 (2025)","journal-title":"Comput. Stand. Interfaces"},{"key":"2269_CR7","first-page":"1","volume":"70","author":"B Hou","year":"2021","unstructured":"Hou, B., Yan, R.: Arcvein-arccosine center loss for finger vein verification. IEEE Trans. Instrum. Meas. 70, 1\u201311 (2021)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"2269_CR8","first-page":"1","volume":"71","author":"B Hou","year":"2022","unstructured":"Hou, B., Yan, R.: Triplet-classifier gan for finger-vein verification. IEEE Trans. Instrum. Meas. 71, 1\u201312 (2022)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"2269_CR9","first-page":"1","volume":"71","author":"B Hou","year":"2022","unstructured":"Hou, B., Zhang, H., Yan, R.: Finger-vein biometric recognition: a review. IEEE Trans. Instrum. Meas. 71, 1\u201326 (2022)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"2269_CR10","doi-asserted-by":"crossref","first-page":"1322","DOI":"10.1109\/TIFS.2023.3238546","volume":"18","author":"Frequency-spatial coupling network for finger vein authentication","year":"2023","unstructured":"Frequency-spatial coupling network for finger vein authentication: Junduan Huang, An Zheng, M Saad Shakeel, Weili Yang, and Wenxiong Kang. Fvfsnet. IEEE Trans. Inf. Forensics Secur. 18, 1322\u20131334 (2023)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2269_CR11","doi-asserted-by":"crossref","unstructured":"Huang, Y., Ma, H., Wang, M.: Axially-enhanced local attention network for finger vein recognition. IEEE Trans. Instrum. Meas. (2023)","DOI":"10.1109\/TIM.2023.3291785"},{"key":"2269_CR12","doi-asserted-by":"publisher","first-page":"132966","DOI":"10.1109\/ACCESS.2019.2941555","volume":"7","author":"Nurul Maisarah Kamaruddin and Bakhtiar Affendi Rosdi","year":"2019","unstructured":"Nurul Maisarah Kamaruddin and Bakhtiar Affendi Rosdi: A new filter generation method in pcanet for finger vein recognition. IEEE Access 7, 132966\u2013132978 (2019)","journal-title":"IEEE Access"},{"key":"2269_CR13","doi-asserted-by":"publisher","first-page":"1175","DOI":"10.1109\/TIFS.2019.2928507","volume":"15","author":"W Kang","year":"2019","unstructured":"Kang, W., Liu, H., Luo, W., Deng, F.: Study of a full-view 3d finger vein verification technique. IEEE Trans. Inf. Forensics Secur. 15, 1175\u20131189 (2019)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2269_CR14","doi-asserted-by":"crossref","unstructured":"Kim, H.-G., Lee, E., Yoon, G.-J., Yang, S.-D., Lee, E., Yoon, S.: Illumination normalization for sift based finger vein authentication. Advances in Visual Computing 21\u201330 (2012)","DOI":"10.1007\/978-3-642-33191-6_3"},{"issue":"3","key":"2269_CR15","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/s11760-022-02270-8","volume":"17","author":"I Kova\u010d","year":"2023","unstructured":"Kova\u010d, I., Mar\u00e1k, P.: Finger vein recognition: utilization of adaptive gabor filters in the enhancement stage combined with sift\/surf-based feature extraction. SIViP 17(3), 635\u2013641 (2023)","journal-title":"SIViP"},{"issue":"4","key":"2269_CR16","doi-asserted-by":"publisher","first-page":"2228","DOI":"10.1109\/TIP.2011.2171697","volume":"21","author":"A Kumar","year":"2011","unstructured":"Kumar, A., Zhou, Y.: Human identification using finger images. IEEE Trans. Image Process. 21(4), 2228\u20132244 (2011)","journal-title":"IEEE Trans. Image Process."},{"key":"2269_CR17","doi-asserted-by":"crossref","unstructured":"Kuzu, R. S., Piciucco, E., Maiorana, E., Campisi, P.: Loss functions for cnn-based biometric vein recognition. In 2020 28th European Signal Processing Confrence (EUSIPCO), pages 750\u2013754. IEEE, (2021)","DOI":"10.23919\/Eusipco47968.2020.9287517"},{"issue":"3","key":"2269_CR18","doi-asserted-by":"publisher","first-page":"2319","DOI":"10.3390\/s110302319","volume":"11","author":"EC Lee","year":"2011","unstructured":"Lee, E.C., Jung, H., Kim, D.: New finger biometric method using near infrared imaging. Sensors 11(3), 2319\u20132333 (2011)","journal-title":"Sensors"},{"issue":"8","key":"2269_CR19","doi-asserted-by":"publisher","first-page":"10841","DOI":"10.1007\/s13369-023-07818-5","volume":"48","author":"C Li","year":"2023","unstructured":"Li, C., Dong, S., Li, W., Zou, K.: Finger vein recognition based on oval parameter-dependent convolutional neural networks. Arab. J. Sci. Eng. 48(8), 10841\u201310856 (2023)","journal-title":"Arab. J. Sci. Eng."},{"key":"2269_CR20","unstructured":"Enyan Li, L., Yang, K.S., Liu, H.: Local and global feature interaction network for partial finger vein recognition. IEEE Signal Process. Lett. 32"},{"key":"2269_CR21","doi-asserted-by":"crossref","unstructured":"Li, J., Fang, P.: Fvgnn: A novel gnn to finger vein recognition from limited training data. In 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), pages 144\u2013148. IEEE, (2019)","DOI":"10.1109\/ITAIC.2019.8785512"},{"issue":"4","key":"2269_CR22","doi-asserted-by":"publisher","first-page":"1132","DOI":"10.3390\/s24041132","volume":"24","author":"M Li","year":"2024","unstructured":"Li, M., Gong, Y., Zheng, Z.: Finger vein identification based on large kernel convolution and attention mechanism. Sensors 24(4), 1132 (2024)","journal-title":"Sensors"},{"key":"2269_CR23","doi-asserted-by":"crossref","unstructured":"Li, X., Zhang, B.B.: Fv-vit: Vision transformer for finger vein recognition. IEEE Access, (2023)","DOI":"10.1109\/ACCESS.2023.3297212"},{"key":"2269_CR24","doi-asserted-by":"crossref","unstructured":"Li, Y., Wang, S., Wang, J., Zeng, G., Liu, W., Zhang, Q. Jin, Q., Wang, Y.: Gt u-net: A u-net like group transformer network for tooth root segmentation. In Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings 12, pages 386\u2013395. Springer, (2021)","DOI":"10.1007\/978-3-030-87589-3_40"},{"issue":"20","key":"2269_CR25","doi-asserted-by":"publisher","first-page":"10364","DOI":"10.3390\/app122010364","volume":"12","author":"Y Li","year":"2022","unstructured":"Li, Y., Huimin, L., Wang, Y., Gao, R., Zhao, C.: Vit-cap: a novel vision transformer-based capsule network model for finger vein recognition. Appl. Sci. 12(20), 10364 (2022)","journal-title":"Appl. Sci."},{"key":"2269_CR26","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.neucom.2014.05.069","volume":"145","author":"F Liu","year":"2014","unstructured":"Liu, F., Yang, G., Yin, Y., Wang, S.: Singular value decomposition based minutiae matching method for finger vein recognition. Neurocomputing 145, 75\u201389 (2014)","journal-title":"Neurocomputing"},{"issue":"3","key":"2269_CR27","doi-asserted-by":"publisher","first-page":"3273","DOI":"10.1007\/s10489-022-03645-7","volume":"53","author":"W Liu","year":"2023","unstructured":"Liu, W., Huimin, L., Wang, Y., Li, Y., Zhenshen, Q., Li, Y.: Mmran: a novel model for finger vein recognition based on a residual attention mechanism: Mmran: a novel finger vein recognition model. Appl. Intell. 53(3), 3273\u20133290 (2023)","journal-title":"Appl. Intell."},{"issue":"1","key":"2269_CR28","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1038\/s41598-023-27524-4","volume":"13","author":"B Ma","year":"2023","unstructured":"Ma, B., Wang, K., Yueli, H.: Finger vein recognition based on bilinear fusion of multiscale features. Sci. Rep. 13(1), 249 (2023)","journal-title":"Sci. Rep."},{"key":"2269_CR29","doi-asserted-by":"crossref","unstructured":"Ma, N., Zhang, X., Zheng, H. T., Sun, J.: Shufflenet v2: Practical guidelines for efficient cnn architecture design. In Proceedings of the European conference on computer vision (ECCV), pages 116\u2013131, (2018)","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"2269_CR30","unstructured":"Mehta, S., Rastegari, M.: Mobilevit: Light-weight, general-purpose, and mobile-friendly vision transformer. arxiv 2021. arXiv preprint arXiv:2110.02178, (2021)"},{"key":"2269_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11432-016-9037-0","volume":"61","author":"X Meng","year":"2018","unstructured":"Meng, X., Xi, X., Yang, G., Yin, Y.: Finger vein recognition based on deformation information. Sci. China Inf. Sci. 61, 1\u201315 (2018)","journal-title":"Sci. China Inf. Sci."},{"issue":"8","key":"2269_CR32","doi-asserted-by":"publisher","first-page":"8647","DOI":"10.1007\/s10462-022-10237-x","volume":"56","author":"S Minaee","year":"2023","unstructured":"Minaee, S., Abdolrashidi, A., Hang, S., Bennamoun, M., Zhang, D.: Biometrics recognition using deep learning: a survey. Artif. Intell. Rev. 56(8), 8647\u20138695 (2023)","journal-title":"Artif. Intell. Rev."},{"key":"2269_CR33","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1007\/s00138-004-0149-2","volume":"15","author":"N Miura","year":"2004","unstructured":"Miura, N., Nagasaka, A., Miyatake, T.: Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification. Mach. Vis. Appl. 15, 194\u2013203 (2004)","journal-title":"Mach. Vis. Appl."},{"issue":"8","key":"2269_CR34","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1093\/ietisy\/e90-d.8.1185","volume":"90","author":"N Miura","year":"2007","unstructured":"Miura, N., Nagasaka, A., Miyatake, T.: Extraction of finger-vein patterns using maximum curvature points in image profiles. IEICE Trans. Inf. Syst. 90(8), 1185\u20131194 (2007)","journal-title":"IEICE Trans. Inf. Syst."},{"issue":"2","key":"2269_CR35","doi-asserted-by":"publisher","first-page":"524","DOI":"10.3390\/s21020524","volume":"21","author":"KJ Noh","year":"2021","unstructured":"Noh, K.J., Choi, J., Hong, J.S., Park, K.R.: Finger-vein recognition using heterogeneous databases by domain adaption based on a cycle-consistent adversarial network. Sensors 21(2), 524 (2021)","journal-title":"Sensors"},{"issue":"6","key":"2269_CR36","doi-asserted-by":"publisher","first-page":"1780","DOI":"10.1016\/j.ijleo.2013.09.038","volume":"125","author":"L Peiqin","year":"2014","unstructured":"Peiqin, L., Jianbin, X., Tong, L., Wei, Y.: Finger vein recognition algorithm based on optimized ght. Optik 125(6), 1780\u20131783 (2014)","journal-title":"Optik"},{"key":"2269_CR37","doi-asserted-by":"crossref","unstructured":"Qi, Y., He, Y., Qi, X., Zhang, Y., Yang, G.: Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation. In Proceedings of the IEEE\/CVF International Conference on Computer Vision 6070\u20136079 (2023)","DOI":"10.1109\/ICCV51070.2023.00558"},{"issue":"5","key":"2269_CR38","doi-asserted-by":"publisher","first-page":"057208","DOI":"10.1117\/1.3572129","volume":"50","author":"H Qin","year":"2011","unstructured":"Qin, H., Qin, L., Chengbo, Yu.: Region growth-based feature extraction method for finger-vein recognition. Opt. Eng. 50(5), 057208\u2013057208 (2011)","journal-title":"Opt. Eng."},{"key":"2269_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107159","volume":"227","author":"H Ren","year":"2021","unstructured":"Ren, H., Sun, L., Guo, J., Han, C., Fan, W.: Finger vein recognition system with template protection based on convolutional neural network. Knowl.-Based Syst. 227, 107159 (2021)","journal-title":"Knowl.-Based Syst."},{"key":"2269_CR40","doi-asserted-by":"crossref","unstructured":"Ren, H., Sun, L., Ren, J., Cao, Y.: Fv-ddc: A novel finger-vein recognition model with deformation detection and correction. Biomed. Signal Process. Control 100, (2025)","DOI":"10.1016\/j.bspc.2024.107098"},{"issue":"12","key":"2269_CR41","doi-asserted-by":"publisher","first-page":"11357","DOI":"10.3390\/s111211357","volume":"11","author":"BA Rosdi","year":"2011","unstructured":"Rosdi, B.A., Shing, C.W., Suandi, S.A.: Finger vein recognition using local line binary pattern. Sensors 11(12), 11357\u201311371 (2011)","journal-title":"Sensors"},{"key":"2269_CR42","doi-asserted-by":"publisher","first-page":"66845","DOI":"10.1109\/ACCESS.2019.2918503","volume":"7","author":"JM Song","year":"2019","unstructured":"Song, J.M., Kim, W., Park, K.R.: Finger-vein recognition based on deep densenet using composite image. Ieee Access 7, 66845\u201366863 (2019)","journal-title":"Ieee Access"},{"key":"2269_CR43","first-page":"3924","volume":"15","author":"H Tan","year":"2020","unstructured":"Tan, H., Kumar, A.: Towards more accurate contactless fingerprint minutiae extraction and pose-invariant matching. IEEE Trans. Inf. Forensics Secur. 15, 3924\u20133937 (2020)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2269_CR44","unstructured":"Tan, M., Le, Q.V.: Efficientnetv2: Smaller models and faster training. arxiv 2021. arXiv preprint arXiv:2104.00298, 5, (2021)"},{"issue":"5","key":"2269_CR45","doi-asserted-by":"publisher","first-page":"5423","DOI":"10.1016\/j.eswa.2010.10.013","volume":"38","author":"W Jian-Da","year":"2011","unstructured":"Jian-Da, W., Liu, C.-T.: Finger-vein pattern identification using principal component analysis and the neural network technique. Expert Syst. Appl. 38(5), 5423\u20135427 (2011)","journal-title":"Expert Syst. Appl."},{"issue":"11","key":"2269_CR46","first-page":"14284","volume":"38","author":"W Jian-Da","year":"2011","unstructured":"Jian-Da, W., Liu, C.-T.: Finger-vein pattern identification using svm and neural network technique. Expert Syst. Appl. 38(11), 14284\u201314289 (2011)","journal-title":"Expert Syst. Appl."},{"key":"2269_CR47","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.patcog.2016.11.002","volume":"66","author":"X Xi","year":"2017","unstructured":"Xi, X., Yang, L., Yin, Y.: Learning discriminative binary codes for finger vein recognition. Pattern Recogn. 66, 26\u201333 (2017)","journal-title":"Pattern Recogn."},{"key":"2269_CR48","doi-asserted-by":"crossref","unstructured":"Yang, J., Shi, Y., Yang, J.: Finger-vein recognition based on a bank of gabor filters. In Computer Vision\u2013ACCV 2009: 9th Asian Conference on Computer Vision, Xi an, September 23-27, 2009, Revised Selected Papers, Part I 9, pages 374\u2013383. Springer, (2010)","DOI":"10.1007\/978-3-642-12307-8_35"},{"key":"2269_CR49","doi-asserted-by":"crossref","unstructured":"Yeh, J., Chan, H.T., Hsia, C.H.: Resnext with cutout for finger vein analysis. In 2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), pages 1\u20132. IEEE, (2021)","DOI":"10.1109\/ISPACS51563.2021.9650921"},{"key":"2269_CR50","doi-asserted-by":"crossref","unstructured":"Yin, Y., Liu, L., Sun, X.: Sdumla-hmt: A multimodal biometric database. In Biometric Recognition: 6th Chinese Conference, CCBR 2011, Beijing, China, December 3-4, 2011. Proceedings 6, pages 260\u2013268. Springer, (2011)","DOI":"10.1007\/978-3-642-25449-9_33"},{"key":"2269_CR51","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1007\/s12539-009-0046-5","volume":"1","author":"Yu Cheng-Bo","year":"2009","unstructured":"Cheng-Bo, Yu., Qin, H.-F., Cui, Y.-Z., Xiao-Qian, H.: Finger-vein image recognition combining modified hausdorff distance with minutiae feature matching. Interdiscip. Sci.: Comput. Life Sci 1, 280\u2013289 (2009)","journal-title":"Interdiscip. Sci.: Comput. Life Sci"},{"key":"2269_CR52","doi-asserted-by":"publisher","first-page":"183118","DOI":"10.1109\/ACCESS.2019.2960411","volume":"7","author":"J Zhang","year":"2019","unstructured":"Zhang, J., Zhiying, L., Li, M., Haopeng, W.: Gan-based image augmentation for finger-vein biometric recognition. IEEE Access 7, 183118\u2013183132 (2019)","journal-title":"IEEE Access"},{"key":"2269_CR53","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Zhou, Z., Yang, X., Meng, H., Wu, G.: Lightweight multi-feature fusion network for finger vein recognition. IEEE Sensors Journal, (2024)","DOI":"10.1109\/JSEN.2024.3401714"},{"key":"2269_CR54","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1016\/j.ins.2022.12.032","volume":"623","author":"Z Zhang","year":"2023","unstructured":"Zhang, Z., Zhou, Z., Yang, X., Meng, H., Guohua, W.: Convolutional neural network based on multi-directional local coding for finger vein recognition. Inf. Sci. 623, 633\u2013647 (2023)","journal-title":"Inf. Sci."},{"key":"2269_CR55","doi-asserted-by":"crossref","unstructured":"Zhong, Y., Li, J., Chai, T., Prasad, S., Zhang, Z.: Different dimension issues in deepfeature space for finger-vein recognition. In Biometric Recognition: 15th Chinese Conference, CCBR 2021, Shanghai, China, September 10\u201312, 2021, Proceedings 15,pages 295\u2013303. Springer, (2021)","DOI":"10.1007\/978-3-030-86608-2_33"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-026-02269-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-026-02269-y","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-026-02269-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T14:04:33Z","timestamp":1773151473000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-026-02269-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,10]]},"references-count":55,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,6]]}},"alternative-id":["2269"],"URL":"https:\/\/doi.org\/10.1007\/s00530-026-02269-y","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,10]]},"assertion":[{"value":"1 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 February 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 March 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":"207"}}