{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T12:04:00Z","timestamp":1784203440867,"version":"3.55.0"},"reference-count":47,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.neunet.2026.109090","type":"journal-article","created":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T06:31:01Z","timestamp":1778481061000},"page":"109090","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["MIRA: Multi-scale invertible dual-attention redundancy-aware network for high-capacity video steganography"],"prefix":"10.1016","volume":"202","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4180-5158","authenticated-orcid":false,"given":"Qianhui","family":"XU","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"NIU","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"LI","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shunzhe","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yihang","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neunet.2026.109090_bib0001","series-title":"Advances in neural information processing systems","first-page":"2069","article-title":"Hiding images in plain sight: Deep steganography","author":"Baluja","year":"2017"},{"issue":"7","key":"10.1016\/j.neunet.2026.109090_bib0002","doi-asserted-by":"crossref","first-page":"1685","DOI":"10.1109\/TPAMI.2019.2901877","article-title":"Hiding images within images","volume":"42","author":"Baluja","year":"2019","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"5","key":"10.1016\/j.neunet.2026.109090_bib0003","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1109\/TIFS.2018.2871749","article-title":"Deep residual network for steganalysis of digital images","volume":"14","author":"Boroumand","year":"2018","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"10.1016\/j.neunet.2026.109090_bib0004","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR)","article-title":"Quo vadis, action recognition? A new model and the kinetics dataset","author":"Carreira","year":"2017"},{"issue":"6","key":"10.1016\/j.neunet.2026.109090_bib0005","doi-asserted-by":"crossref","first-page":"385","DOI":"10.14257\/ijmue.2014.9.6.37","article-title":"Video steganography for hiding image with wavelet coefficients","volume":"9","author":"Chantrapornchai","year":"2014","journal-title":"International Journal of Multimedia and Ubiquitous Engineering"},{"key":"10.1016\/j.neunet.2026.109090_bib0006","series-title":"Proceedings of the advances in neural information processing systems (neurIPS)","article-title":"Hiding images in deep probabilistic models","author":"Chen","year":"2022"},{"key":"10.1016\/j.neunet.2026.109090_bib0007","unstructured":"Dinh, L., Krueger, D., & Bengio, Y. (2014). NICE: Non-linear independent components estimation. arXiv preprint arXiv: 1410.8516."},{"key":"10.1016\/j.neunet.2026.109090_bib0008","series-title":"Proceedings of the international conference on learning representations (ICLR)","article-title":"Density estimation using real NVP","author":"Dinh","year":"2017"},{"key":"10.1016\/j.neunet.2026.109090_bib0009","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1016\/j.aej.2025.09.035","article-title":"Dynamic learning of auditory attention patterns under combinatorial space","volume":"130","author":"Gao","year":"2025","journal-title":"Alexandria Engineering Journal"},{"key":"10.1016\/j.neunet.2026.109090_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2025.107457","article-title":"A multi-domain constraint learning system inspired by adaptive cognitive graphs for emotion recognition","volume":"188","author":"Gao","year":"2025","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2026.109090_bib0011","doi-asserted-by":"crossref","first-page":"3041","DOI":"10.1109\/TIP.2025.3567830","article-title":"Approximately invertible neural network for learned image compression","volume":"34","author":"Gao","year":"2025","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.neunet.2026.109090_bib0012","unstructured":"Huang, L., Huo, L., Gan, Z., & He, X. (2024). FIIH: Fully Invertible Image Hiding for Secure and Robust. arXiv preprint arXiv:2407.17155."},{"key":"10.1016\/j.neunet.2026.109090_bib0013","series-title":"Proceedings of the IEEE international conference on computer vision (ICCV)","first-page":"4733","article-title":"HiNet: Deep image hiding by invertible network","author":"Jing","year":"2021"},{"key":"10.1016\/j.neunet.2026.109090_bib0014","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR)","article-title":"The kinetics dataset: A large video dataset for human action recognition","author":"Kay","year":"2017"},{"key":"10.1016\/j.neunet.2026.109090_bib0015","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"2723","article-title":"StegFormer: Rebuilding the glory of autoencoder-based steganography","volume":"vol. 38","author":"Ke","year":"2024"},{"key":"10.1016\/j.neunet.2026.109090_bib0016","series-title":"Advances in neural information processing systems","first-page":"10236","article-title":"Glow: Generative flow with invertible 1x1 conventions","author":"Kingma","year":"2018"},{"key":"10.1016\/j.neunet.2026.109090_bib0017","series-title":"Proceedings of the IEEE international conference on recent trends in electronics, information & communication technology (RTE-ICT)","first-page":"421","article-title":"A DWT-DCT combined approach for video steganography","author":"Korgaonkar","year":"2017"},{"key":"10.1016\/j.neunet.2026.109090_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2025.108228","article-title":"An adaptive decoupling learning system informed by the brain functional structure for EEG decoding","volume":"195","author":"Li","year":"2026","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2026.109090_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110613","article-title":"An EEG-based brain cognitive dynamic recognition network for representations of brain fatigue","volume":"146","author":"Li","year":"2023","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.neunet.2026.109090_bib0020","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.cogsys.2019.09.008","article-title":"A robust steganography method for HEVC based on secret sharing","volume":"59","author":"Liu","year":"2020","journal-title":"Cognitive Systems Research"},{"key":"10.1016\/j.neunet.2026.109090_bib0021","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR)","first-page":"10816","article-title":"Large-capacity image steganography based on invertible neural networks","author":"Lu","year":"2021"},{"key":"10.1016\/j.neunet.2026.109090_bib0022","series-title":"Proceedings of the european conference on computer vision (ECCV)","first-page":"715","article-title":"SRFlow: Learning the super-resolution space with normalizing flow","author":"Lugmayr","year":"2020"},{"key":"10.1016\/j.neunet.2026.109090_bib0023","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision (ICCV)","article-title":"Image super-resolution with non-local sparse attention","author":"Mei","year":"2021"},{"issue":"5","key":"10.1016\/j.neunet.2026.109090_bib0024","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1109\/LSP.2006.870357","article-title":"LSB matching revisited","volume":"13","author":"Mielikainen","year":"2006","journal-title":"IEEE Signal Processing Letters"},{"key":"10.1016\/j.neunet.2026.109090_bib0025","series-title":"Proceedings of the british machine vision conference (BMVC)","first-page":"274","article-title":"VStegNet: Video steganography network using spatiotemporal features and micro-bottleneck","author":"Mishra","year":"2019"},{"key":"10.1016\/j.neunet.2026.109090_bib0026","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","article-title":"Large-capacity and flexible video steganography via invertible neural network","author":"Mou","year":"2023"},{"key":"10.1016\/j.neunet.2026.109090_bib0027","unstructured":"Pont-Tuset, J., Perazzi, F., Caelles, S., Arbel\u00e1ez, P., Sorkine-Hornung, A., & Van Gool, L. (2018). The 2017\u202fDAVIS challenge on video object segmentation. arXiv preprint arXiv: 1704.00675."},{"key":"10.1016\/j.neunet.2026.109090_bib0028","series-title":"International conference on learning representations (ICLR)","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2015"},{"key":"10.1016\/j.neunet.2026.109090_bib0029","unstructured":"Soomro, K., Zamir, A. R., & Shah, M. (2012). UCF101: A dataset of 101 human actions classes from videos in the wild. arXiv preprint arXiv: 1212.0402."},{"issue":"1","key":"10.1016\/j.neunet.2026.109090_bib0030","first-page":"266","article-title":"Lightweight image steganography scheme based on invertible neural network","volume":"41","author":"Sun","year":"2024","journal-title":"Application Research of Computers"},{"issue":"5","key":"10.1016\/j.neunet.2026.109090_bib0031","first-page":"1620","article-title":"Video steganography by LSB substitution using different polynomial equations","volume":"2","author":"Swathi","year":"2012","journal-title":"International Journal of Computational Engineering Research"},{"key":"10.1016\/j.neunet.2026.109090_bib0032","series-title":"Proceedings of the IEEE international conference on image processing (ICIP)","first-page":"5502","article-title":"Information hiding in HEVC standard using adaptive coding block size decision","author":"Tew","year":"2014"},{"key":"10.1016\/j.neunet.2026.109090_bib0033","series-title":"Proceedings of the advances in neural information processing systems (neurIPS)","article-title":"LD-RoViS: Training-free robust video steganography for deterministic latent diffusion model","author":"Wang","year":"2025"},{"key":"10.1016\/j.neunet.2026.109090_bib0034","unstructured":"Wang, Y., Xiao, M., Liu, C., Zheng, S., & Liu, T.-Y. (2020). Modeling lost information in lossy image compression. arXiv preprint arXiv: 2006.11999."},{"key":"10.1016\/j.neunet.2026.109090_bib0035","series-title":"Proceedings of the international conference on multimedia retrieval (ICMR)","first-page":"87","article-title":"High capacity convolutional video steganography with temporal residual modeling","author":"Weng","year":"2019"},{"issue":"10","key":"10.1016\/j.neunet.2026.109090_bib0036","doi-asserted-by":"crossref","first-page":"1499","DOI":"10.1109\/TCSVT.2009.2022781","article-title":"Complete video quality-preserving data hiding","volume":"19","author":"Wong","year":"2009","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.neunet.2026.109090_bib0037","series-title":"Proceedings of the european conference on computer vision (ECCV)","first-page":"126","article-title":"Invertible image rescaling","author":"Xiao","year":"2020"},{"issue":"2","key":"10.1016\/j.neunet.2026.109090_bib0038","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/s40747-024-01762-z","article-title":"A joint learning method for low-light facial expression recognition","volume":"11","author":"Xie","year":"2025","journal-title":"Complex & Intelligent Systems"},{"issue":"10","key":"10.1016\/j.neunet.2026.109090_bib0039","doi-asserted-by":"crossref","first-page":"9895","DOI":"10.1109\/TCSVT.2025.3562623","article-title":"EFCA-DIH: Edge features and coordinate attention-based invertible network for deep image hiding","volume":"35","author":"Xiong","year":"2025","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.neunet.2026.109090_bib0040","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR)","first-page":"7875","article-title":"Robust invertible image steganography","author":"Xu","year":"2022"},{"issue":"8","key":"10.1016\/j.neunet.2026.109090_bib0041","doi-asserted-by":"crossref","first-page":"1106","DOI":"10.1007\/s11263-018-01144-2","article-title":"Video enhancement with task-oriented flow","volume":"127","author":"Xue","year":"2019","journal-title":"International Journal of Computer Vision (IJCV)"},{"key":"10.1016\/j.neunet.2026.109090_bib0042","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2020.102910","article-title":"Steganography using a 3-player game","volume":"72","author":"Yedroudj","year":"2020","journal-title":"Journal of Visual Communication and Image Representation"},{"key":"10.1016\/j.neunet.2026.109090_bib0043","unstructured":"Zhang, K. A., Xu, L., Cuesta-Infante, A., & Veeramachaneni, K. (2019a). Robust invisible video watermarking with attention. arXiv preprint arXiv: 1909.01285."},{"issue":"7","key":"10.1016\/j.neunet.2026.109090_bib0044","doi-asserted-by":"crossref","first-page":"8559","DOI":"10.1007\/s11042-018-6951-z","article-title":"Invisible steganography via generative adversarial networks","volume":"78","author":"Zhang","year":"2019","journal-title":"Multimedia Tools and Applications"},{"key":"10.1016\/j.neunet.2026.109090_bib0045","article-title":"Correntropy meets cross-entropy: A robust loss against noisy labels","author":"Zhou","year":"2026","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"99","key":"10.1016\/j.neunet.2026.109090_bib0046","first-page":"1","article-title":"BERN: A novel framework for enhanced emotion recognition through the integration of EEG and eye movement features","author":"Zhou","year":"2025","journal-title":"IEEE Transactions on Cognitive and Developmental Systems"},{"issue":"1","key":"10.1016\/j.neunet.2026.109090_bib0047","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1007\/s10489-025-07040-w","article-title":"Bipartite graph regularized robust low-rank matrix factorization for fast semi-supervised image clustering","volume":"56","author":"Zhou","year":"2026","journal-title":"Applied Intelligence"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608026005502?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608026005502?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T11:10:49Z","timestamp":1784200249000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0893608026005502"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":47,"alternative-id":["S0893608026005502"],"URL":"https:\/\/doi.org\/10.1016\/j.neunet.2026.109090","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"MIRA: Multi-scale invertible dual-attention redundancy-aware network for high-capacity video steganography","name":"articletitle","label":"Article Title"},{"value":"Neural Networks","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neunet.2026.109090","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"109090"}}