{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T06:44:28Z","timestamp":1778049868560,"version":"3.51.4"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62402505"],"award-info":[{"award-number":["62402505"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Innovation Program of Hunan Province","award":["2022RC3061"],"award-info":[{"award-number":["2022RC3061"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Data Min Knowl Disc"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1007\/s10618-025-01129-z","type":"journal-article","created":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T04:51:42Z","timestamp":1754023902000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Spatiotemporal attention-based real-time video watermarking"],"prefix":"10.1007","volume":"39","author":[{"given":"Quan","family":"Yan","sequence":"first","affiliation":[]},{"given":"Yuanjing","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Zhangdong","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Junhua","family":"Xi","sequence":"additional","affiliation":[]},{"given":"Geming","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Zhiping","family":"Cai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,1]]},"reference":[{"issue":"9","key":"1129_CR1","doi-asserted-by":"publisher","first-page":"2131","DOI":"10.1109\/TCSVT.2017.2712162","volume":"28","author":"M Asikuzzaman","year":"2017","unstructured":"Asikuzzaman M, Pickering MR (2017) An overview of digital video watermarking. IEEE Trans Circuits Syst Video Technol 28(9):2131\u20132153","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"9","key":"1129_CR2","doi-asserted-by":"publisher","first-page":"1733","DOI":"10.1109\/TMM.2016.2589208","volume":"18","author":"M Asikuzzaman","year":"2016","unstructured":"Asikuzzaman M, Alam MJ, Lambert AJ, Pickering MR (2016) Robust dt cwt-based dibr 3d video watermarking using chrominance embedding. IEEE Trans Multimedia 18(9):1733\u20131748","journal-title":"IEEE Trans Multimedia"},{"key":"1129_CR3","doi-asserted-by":"crossref","unstructured":"Azad R, Niggemeier L, H\u00fcttemann M, Kazerouni A, Aghdam EK, Velichko Y, Bagci U, Merhof D (2024) Beyond self-attention: Deformable large kernel attention for medical image segmentation. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 1287\u20131297","DOI":"10.1109\/WACV57701.2024.00132"},{"key":"1129_CR4","unstructured":"Carreira J, Noland E, Banki-Horvath A, Hillier C, Zisserman A (2018) A short note about kinetics-600. arXiv preprint arXiv:1808.01340"},{"key":"1129_CR5","doi-asserted-by":"crossref","unstructured":"Carreira J, Zisserman A (2017) Quo vadis, action recognition? a new model and the kinetics dataset. In: Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6299\u20136308","DOI":"10.1109\/CVPR.2017.502"},{"key":"1129_CR6","doi-asserted-by":"crossref","unstructured":"Chang Q, Huang L, Liu S, Liu H, Yang T, Wang Y (2022) Blind robust video watermarking based on adaptive region selection and channel reference. In: Proc. of the ACM International Conference on Multimedia, pp. 2344\u20132350","DOI":"10.1145\/3503161.3548168"},{"issue":"12","key":"1129_CR7","doi-asserted-by":"publisher","first-page":"7342","DOI":"10.1109\/TCSVT.2023.3281618","volume":"33","author":"S Chen","year":"2023","unstructured":"Chen S, Malik A, Zhang X, Feng G, Wu H (2023) A fast method for robust video watermarking based on zernike moments. IEEE Trans Circuits Syst Video Technol 33(12):7342\u20137353","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"1129_CR8","doi-asserted-by":"crossref","unstructured":"Chen J, Yu Y, Song S, Wang X, Yang J, Xue Y, Lao Y (2023) Acm multimedia 2023 grand challenge report: Invisible video watermark. In: Proc. of the 31st ACM International Conference on Multimedia, pp. 9630\u20139634","DOI":"10.1145\/3581783.3612834"},{"key":"1129_CR9","doi-asserted-by":"crossref","unstructured":"Cvanet: Cascaded visual attention network for single image super-resolution. Neural Networks 170, 622\u2013634 (2024)","DOI":"10.1016\/j.neunet.2023.11.049"},{"key":"1129_CR10","doi-asserted-by":"crossref","unstructured":"Dey N, Das P, Roy AB, Das A, Chaudhuri SS (2012) Dwt-dct-svd based intravascular ultrasound video watermarking. In: Proc. of the World Congress on Information and Communication Technologies, pp. 224\u2013229","DOI":"10.1109\/WICT.2012.6409079"},{"issue":"11","key":"1129_CR11","doi-asserted-by":"publisher","first-page":"4075","DOI":"10.1109\/TCSVT.2019.2953720","volume":"30","author":"H Fang","year":"2020","unstructured":"Fang H, Zhang W, Ma Z, Zhou H, Sun S, Cui H, Yu N (2020) A camera shooting resilient watermarking scheme for underpainting documents. IEEE Trans Circuits Syst Video Technol 30(11):4075\u20134089","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"1129_CR12","doi-asserted-by":"crossref","unstructured":"Fang H, Chen K, Qiu Y, Liu J, Xu K, Fang C, Zhang W, Chang E-C (2023) Denol: A few-shot-sample-based decoupling noise layer for cross-channel watermarking robustness. In: Proc. of the ACM International Conference on Multimedia, pp. 7345\u20137353","DOI":"10.1145\/3581783.3612068"},{"key":"1129_CR13","doi-asserted-by":"crossref","unstructured":"Fang H, Jia Z, Ma Z, Chang E-C, Zhang W (2022) Pimog: An effective screen-shooting noise-layer simulation for deep-learning-based watermarking network. In: Proc. of the ACM International Conference on Multimedia, pp. 2267\u20132275","DOI":"10.1145\/3503161.3548049"},{"key":"1129_CR14","doi-asserted-by":"crossref","unstructured":"Guo H, Zhang Q, Luo J, Guo F, Zhang W, Su X, Li M (2023) Practical deep dispersed watermarking with synchronization and fusion. In: Proc. of the ACM International Conference on Multimedia, pp. 7922\u20137932","DOI":"10.1145\/3581783.3612015"},{"issue":"4","key":"1129_CR15","doi-asserted-by":"publisher","first-page":"1955","DOI":"10.1109\/TCSVT.2021.3092004","volume":"32","author":"W Huan","year":"2022","unstructured":"Huan W, Li S, Qian Z, Zhang X (2022) Exploring stable coefficients on joint sub-bands for robust video watermarking in dt cwt domain. IEEE Trans Circuits Syst Video Technol 32(4):1955\u20131965","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"13","key":"1129_CR16","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1049\/el:20080522","volume":"44","author":"Q Huynh-Thu","year":"2008","unstructured":"Huynh-Thu Q, Ghanbari M (2008) Scope of validity of psnr in image\/video quality assessment. Electron Lett 44(13):800\u2013801","journal-title":"Electron Lett"},{"key":"1129_CR17","doi-asserted-by":"publisher","first-page":"7364","DOI":"10.1109\/TMM.2022.3221894","volume":"25","author":"J Jia","year":"2022","unstructured":"Jia J, Gao Z, Zhu D, Min X, Hu M, Zhai G (2022) Rivie: Robust inherent video information embedding. IEEE Trans Multimedia 25:7364\u20137377","journal-title":"IEEE Trans Multimedia"},{"key":"1129_CR18","doi-asserted-by":"crossref","unstructured":"Jia J, Gao Z, Zhu D, Min X, Zhai G, Yang X (2022) Learning invisible markers for hidden codes in offline-to-online photography. In: Proc. of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2273\u20132282","DOI":"10.1109\/CVPR52688.2022.00231"},{"key":"1129_CR19","first-page":"559","volume":"10","author":"S Joshi","year":"2018","unstructured":"Joshi S, Pande J, Singh B (2018) Watermarking of audio signals using iris data for protecting intellectual property rights of multiple owners. Int J Inf Technol 10:559\u2013566","journal-title":"Int J Inf Technol"},{"key":"1129_CR20","doi-asserted-by":"publisher","first-page":"20149","DOI":"10.1007\/s11042-020-08881-y","volume":"79","author":"S Kumar","year":"2020","unstructured":"Kumar S, Singh BK, Yadav M (2020) A recent survey on multimedia and database watermarking. Multimedia Tools and Applications 79:20149\u201320197","journal-title":"Multimedia Tools and Applications"},{"issue":"1","key":"1129_CR21","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1109\/TCSVT.2021.3056725","volume":"32","author":"J Liu","year":"2022","unstructured":"Liu J, Fan X, Jiang J, Liu R, Luo Z (2022) Learning a deep multi-scale feature ensemble and an edge-attention guidance for image fusion. IEEE Trans Circuits Syst Video Technol 32(1):105\u2013119","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"1129_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.110066","volume":"259","author":"Q Liu","year":"2023","unstructured":"Liu Q, Yang S, Liu J, Zhao L, Xiong P, Shen J (2023) An efficient video watermark method using blockchain. Knowl-Based Syst 259:110066","journal-title":"Knowl-Based Syst"},{"key":"1129_CR23","doi-asserted-by":"crossref","unstructured":"Liu Y, Guo M, Zhang J, Zhu Y, Xie X (2019) A novel two-stage separable deep learning framework for practical blind watermarking. In: Proc. of the ACM International Conference on Multimedia, pp. 1509\u20131517","DOI":"10.1145\/3343031.3351025"},{"key":"1129_CR24","doi-asserted-by":"crossref","unstructured":"Li J, Wang H, Yang L, Liu D (2022) Dst-based video watermarking robust to lossy channel compression. In: Proc. of the IEEE International Workshop on Multimedia Signal Processing, pp. 1\u20136","DOI":"10.1109\/MMSP55362.2022.9948875"},{"key":"1129_CR25","doi-asserted-by":"crossref","unstructured":"Lu J, Ni J, Su W, Xie H (2022) Wavelet-based cnn for robust and high-capacity image watermarking. In: Proc. of the IEEE International Conference on Multimedia and Expo, pp. 1\u20136","DOI":"10.1109\/ICME52920.2022.9859725"},{"issue":"3","key":"1129_CR26","doi-asserted-by":"publisher","first-page":"1670","DOI":"10.1109\/TCSVT.2023.3295895","volume":"34","author":"Y Luo","year":"2023","unstructured":"Luo Y, Zhou T, Cui S, Ye Y, Liu F, Cai Z (2023) Fixing the double agent vulnerability of deep watermarking: A patch-level solution against artwork plagiarism. IEEE Trans Circuits Syst Video Technol 34(3):1670\u20131683","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"1129_CR27","unstructured":"Luo X, Li Y, Chang H, Liu C, Milanfar P, Yang F (2023) Dvmark: a deep multiscale framework for video watermarking. IEEE Transactions on Image Processing"},{"key":"1129_CR28","doi-asserted-by":"crossref","unstructured":"Luo Y, Zhou T, Liu F, Cai Z (2023) Irwart: Levering watermarking performance for protecting high-quality artwork images. In: Proc. of the ACM Web Conference, pp. 2340\u20132348","DOI":"10.1145\/3543507.3583489"},{"key":"1129_CR29","doi-asserted-by":"crossref","unstructured":"Marszalek M, Laptev I, Schmid C (2009) Actions in context. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2929\u20132936. IEEE","DOI":"10.1109\/CVPRW.2009.5206557"},{"key":"1129_CR30","first-page":"1073","volume":"13","author":"R Patel","year":"2021","unstructured":"Patel R, Lad K, Patel M, Desai M (2021) An efficient dct-sbpm based video steganography in compressed domain. Int J Inf Technol 13:1073\u20131078","journal-title":"Int J Inf Technol"},{"key":"1129_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107404","volume":"106","author":"X Qin","year":"2020","unstructured":"Qin X, Zhang Z, Huang C, Dehghan M, Zaiane OR, Jagersand M (2020) U2-net: Going deeper with nested u-structure for salient object detection. Pattern Recogn 106:107404","journal-title":"Pattern Recogn"},{"issue":"4","key":"1129_CR32","doi-asserted-by":"publisher","first-page":"3995","DOI":"10.1007\/s13369-019-03751-8","volume":"44","author":"DG Savakar","year":"2019","unstructured":"Savakar DG, Ghuli A (2019) Robust invisible digital image watermarking using hybrid scheme. Arab J Sci Eng 44(4):3995\u20134008","journal-title":"Arab J Sci Eng"},{"issue":"3","key":"1129_CR33","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1016\/j.jksuci.2019.03.009","volume":"34","author":"VK Sharma","year":"2022","unstructured":"Sharma VK, Mir RN (2022) An enhanced time efficient technique for image watermarking using ant colony optimization and light gradient boosting algorithm. Journal of King Saud University-Computer and Information Sciences 34(3):615\u2013626","journal-title":"Journal of King Saud University-Computer and Information Sciences"},{"issue":"7","key":"1129_CR34","doi-asserted-by":"publisher","first-page":"2591","DOI":"10.1109\/TCSVT.2020.3030671","volume":"31","author":"H Wu","year":"2021","unstructured":"Wu H, Liu G, Yao Y, Zhang X (2021) Watermarking neural networks with watermarked images. IEEE Trans Circuits Syst Video Technol 31(7):2591\u20132601","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"1129_CR35","doi-asserted-by":"crossref","unstructured":"Wu H, Chen C, Hou J, Liao L, Wang A, Sun W, Yan Q, Lin W (2022) Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling. In: Proc. of the European Conference on Computer Vision, vol. 13666, pp. 538\u2013554","DOI":"10.1007\/978-3-031-20068-7_31"},{"key":"1129_CR36","doi-asserted-by":"crossref","unstructured":"Ye G, Gao J, Wang Y, Song L, Wei X (2023) Itov: Efficiently adapting deep learning-based image watermarking to video watermarking. In: Proc. of the International Conference on Culture-Oriented Science and Technology, pp. 192\u2013197","DOI":"10.1109\/CoST60524.2023.00047"},{"key":"1129_CR37","doi-asserted-by":"crossref","unstructured":"Yoo I, Chang H, Luo X, Stava O, Liu C, Milanfar P, Yang F (2022) Deep 3d-to-2d watermarking: Embedding messages in 3d meshes and extracting them from 2d renderings. In: Proc. of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10031\u201310040","DOI":"10.1109\/CVPR52688.2022.00979"},{"key":"1129_CR38","doi-asserted-by":"crossref","unstructured":"Zamir SW, Arora A, Khan S, Hayat M, Khan FS, Yang M-H (2022) Restormer: Efficient transformer for high-resolution image restoration. In: Proc. of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5728\u20135739","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"1129_CR39","unstructured":"Zhang KA, Xu L, Cuesta-Infante A, Veeramachaneni K (2019) Robust invisible video watermarking with attention. arXiv preprint arXiv:1909.01285"},{"key":"1129_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.127435","volume":"579","author":"Z Zhang","year":"2024","unstructured":"Zhang Z, Wang H, Wang G, Wu X (2024) Hide and track: Towards blind video watermarking network in frequency domain. Neurocomputing 579:127435","journal-title":"Neurocomputing"},{"key":"1129_CR41","doi-asserted-by":"crossref","unstructured":"Zhang R, Isola P, Efros AA, Shechtman E, Wang O (2018) The unreasonable effectiveness of deep features as a perceptual metric. In: Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 586\u2013595","DOI":"10.1109\/CVPR.2018.00068"},{"key":"1129_CR42","doi-asserted-by":"crossref","unstructured":"Zhang Y, Ni J, Su W, Liao X (2023) A novel deep video watermarking framework with enhanced robustness to h. 264\/avc compression. In: Proc. of the ACM International Conference on Multimedia, pp. 8095\u20138104","DOI":"10.1145\/3581783.3612270"},{"key":"1129_CR43","doi-asserted-by":"crossref","unstructured":"Zhu J, Kaplan R, Johnson J, Fei-Fei L (2018) Hidden: Hiding data with deep networks. In: Proc. of the European Conference on Computer Vision, pp. 657\u2013672","DOI":"10.1007\/978-3-030-01267-0_40"}],"container-title":["Data Mining and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-025-01129-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10618-025-01129-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-025-01129-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T10:29:55Z","timestamp":1757672995000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10618-025-01129-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,1]]},"references-count":43,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["1129"],"URL":"https:\/\/doi.org\/10.1007\/s10618-025-01129-z","relation":{},"ISSN":["1384-5810","1573-756X"],"issn-type":[{"value":"1384-5810","type":"print"},{"value":"1573-756X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,1]]},"assertion":[{"value":"6 February 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 August 2025","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":"62"}}