{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T14:18:34Z","timestamp":1772461114323,"version":"3.50.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T00:00:00Z","timestamp":1728345600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T00:00:00Z","timestamp":1728345600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["No. N2216010"],"award-info":[{"award-number":["No. N2216010"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["No. N2216010"],"award-info":[{"award-number":["No. N2216010"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["No. N2216010"],"award-info":[{"award-number":["No. N2216010"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["No. N2216010"],"award-info":[{"award-number":["No. N2216010"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["No. N2216010"],"award-info":[{"award-number":["No. N2216010"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the 'Jie Bang Gua Shuai' Science and Technology Major Project of Liaoning Province in 2022","award":["No.2022JH1\/10400025"],"award-info":[{"award-number":["No.2022JH1\/10400025"]}]},{"name":"the 'Jie Bang Gua Shuai' Science and Technology Major Project of Liaoning Province in 2022","award":["No.2022JH1\/10400025"],"award-info":[{"award-number":["No.2022JH1\/10400025"]}]},{"name":"the 'Jie Bang Gua Shuai' Science and Technology Major Project of Liaoning Province in 2022","award":["No.2022JH1\/10400025"],"award-info":[{"award-number":["No.2022JH1\/10400025"]}]},{"name":"the 'Jie Bang Gua Shuai' Science and Technology Major Project of Liaoning Province in 2022","award":["No.2022JH1\/10400025"],"award-info":[{"award-number":["No.2022JH1\/10400025"]}]},{"name":"the 'Jie Bang Gua Shuai' Science and Technology Major Project of Liaoning Province in 2022","award":["No.2022JH1\/10400025"],"award-info":[{"award-number":["No.2022JH1\/10400025"]}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["No. 2018YFB1702000"],"award-info":[{"award-number":["No. 2018YFB1702000"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["No. 2018YFB1702000"],"award-info":[{"award-number":["No. 2018YFB1702000"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["No. 2018YFB1702000"],"award-info":[{"award-number":["No. 2018YFB1702000"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["No. 2018YFB1702000"],"award-info":[{"award-number":["No. 2018YFB1702000"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["No. 2018YFB1702000"],"award-info":[{"award-number":["No. 2018YFB1702000"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s00530-024-01499-2","type":"journal-article","created":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T17:02:11Z","timestamp":1728406931000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Model-based portrait video compression with spatial constraint and adaptive pose processing"],"prefix":"10.1007","volume":"30","author":[{"given":"Xinyi","family":"Chen","sequence":"first","affiliation":[]},{"given":"Weimin","family":"Lei","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Huan","family":"Meng","sequence":"additional","affiliation":[]},{"given":"Hantian","family":"Guo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,8]]},"reference":[{"issue":"12","key":"1499_CR1","doi-asserted-by":"publisher","first-page":"1649","DOI":"10.1109\/TCSVT.2012.2221191","volume":"22","author":"GJ Sullivan","year":"2012","unstructured":"Sullivan, G.J., Ohm, J.-R., Han, W.-J., Wiegand, T.: Overview of the high efficiency video coding (hevc) standard. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1649\u20131668 (2012)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1499_CR2","unstructured":"Bross, B.,\u00a0Chen, S.L. J., Wang, Y.: Versatile video coding (draft 10). In: JVET 19th Meeting JVET-S2001 (2020)"},{"key":"1499_CR3","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. Adv. Neural Inf. Process. Syst. 27 (2014)"},{"key":"1499_CR4","unstructured":"Siarohin, A., Lathuili\u00e8re, S., Tulyakov, S., Ricci, E., Sebe, N.: First order motion model for image animation. Adv. Neural Inf. Process. Syst. 32 (2019)"},{"key":"1499_CR5","doi-asserted-by":"crossref","unstructured":"Tao, J., Wang, B., Ge, T., Jiang, Y., Li, W., Duan, L.: Motion transformer for unsupervised image animation. In: European Conference on Computer Vision, pp. 702\u2013719 (2022). Springer","DOI":"10.1007\/978-3-031-19787-1_40"},{"key":"1499_CR6","doi-asserted-by":"publisher","unstructured":"Tao, J., Wang, B., Xu, B., Ge, T., Jiang, Y., Li, W., Duan, L.: Structure-aware motion transfer with deformable anchor model. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3627\u20133636 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.00362","DOI":"10.1109\/CVPR52688.2022.00362"},{"key":"1499_CR7","doi-asserted-by":"crossref","unstructured":"Siarohin, A., Woodford, O.J., Ren, J., Chai, M., Tulyakov, S.: Motion representations for articulated animation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13653\u201313662 (2021)","DOI":"10.1109\/CVPR46437.2021.01344"},{"key":"1499_CR8","doi-asserted-by":"crossref","unstructured":"Zhao, J., Zhang, H.: Thin-plate spline motion model for image animation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3657\u20133666 (2022)","DOI":"10.1109\/CVPR52688.2022.00364"},{"key":"1499_CR9","doi-asserted-by":"crossref","unstructured":"Yu, J., Xie, G., Cai, Z., He, P., Gao, F., Ling, Q.: Micro expression generation with thin-plate spline motion model and face parsing. In: Proceedings of the 30th ACM International Conference on Multimedia, pp. 7210\u20137214 (2022)","DOI":"10.1145\/3503161.3551609"},{"key":"1499_CR10","doi-asserted-by":"crossref","unstructured":"Zhao, S., Yin, S., Tang, H., Jin, R., Xu, Y., Xu, T., Chen, E.: Fine-grained micro-expression generation based on thin-plate spline and relative au constraint. In: Proceedings of the 30th ACM International Conference on Multimedia, pp. 7150\u20137154 (2022)","DOI":"10.1145\/3503161.3551597"},{"key":"1499_CR11","doi-asserted-by":"crossref","unstructured":"Fan, X., Shahid, A.R., Yan, H.: Adaptive dual motion model for facial micro-expression generation. In: Proceedings of the 30th ACM International Conference on Multimedia, pp. 7125\u20137129 (2022)","DOI":"10.1145\/3503161.3551592"},{"key":"1499_CR12","doi-asserted-by":"crossref","unstructured":"Fan, X., Chen, X., Jiang, M., Shahid, A.R., Yan, H.: Selfme: Self-supervised motion learning for micro-expression recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13834\u201313843 (2023)","DOI":"10.1109\/CVPR52729.2023.01329"},{"key":"1499_CR13","doi-asserted-by":"publisher","unstructured":"Wieckowski, A., Brandenburg, J., Hinz, T., Bartnik, C., George, V., Hege, G., Helmrich, C., Henkel, A., Lehmann, C., Stoffers, C., Zupancic, I., Bross, B., Marpe, D.: Vvenc: An open and optimized vvc encoder implementation. In: 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 1\u20132 (2021). https:\/\/doi.org\/10.1109\/ICMEW53276.2021.9455944","DOI":"10.1109\/ICMEW53276.2021.9455944"},{"key":"1499_CR14","doi-asserted-by":"crossref","unstructured":"Wang, L., Hou, J., Guo, X., Ma, Z., Liu, X., Fang, H.: Micro-expression video clip synthesis method based on spatial-temporal statistical model and motion intensity evaluation function. In: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 211\u2013217 (2020). IEEE","DOI":"10.1109\/SMC42975.2020.9283113"},{"key":"1499_CR15","doi-asserted-by":"crossref","unstructured":"Lin, J., Liu, D., Li, H., Wu, F.: M-lvc: Multiple frames prediction for learned video compression. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2020)","DOI":"10.1109\/CVPR42600.2020.00360"},{"key":"1499_CR16","doi-asserted-by":"publisher","unstructured":"Wang, Z., Chen, B., Ye, Y., Wang, S.: Dynamic multi-reference generative prediction for face video compression. In: 2022 IEEE International Conference on Image Processing (ICIP), pp. 896\u2013900 (2022). https:\/\/doi.org\/10.1109\/ICIP46576.2022.9897729","DOI":"10.1109\/ICIP46576.2022.9897729"},{"issue":"2","key":"1499_CR17","doi-asserted-by":"publisher","first-page":"2777","DOI":"10.1007\/s11042-021-11678-2","volume":"81","author":"M Amna","year":"2022","unstructured":"Amna, M., Imen, W., Soulef, B., Fatma Ezahra, S.: Machine learning-based approaches to reduce hevc intra coding unit partition decision complexity. Multimedia Tools Appl. 81(2), 2777\u20132802 (2022)","journal-title":"Multimedia Tools Appl."},{"issue":"3","key":"1499_CR18","doi-asserted-by":"publisher","first-page":"1481","DOI":"10.1109\/TCSVT.2022.3195904","volume":"33","author":"R Yang","year":"2023","unstructured":"Yang, R., Liu, H., Zhu, S., Zheng, X., Zeng, B.: Dfce: Decoder-friendly chrominance enhancement for hevc intra coding. IEEE Trans. Circuits Syst. Video Technol. 33(3), 1481\u20131486 (2023). https:\/\/doi.org\/10.1109\/TCSVT.2022.3195904","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"2","key":"1499_CR19","doi-asserted-by":"publisher","first-page":"826","DOI":"10.1109\/TCSVT.2021.3063165","volume":"32","author":"Y Wang","year":"2022","unstructured":"Wang, Y., Fan, X., Xiong, R., Zhao, D., Gao, W.: Neural network-based enhancement to inter prediction for video coding. IEEE Trans. Circuits Syst. Video Technol. 32(2), 826\u2013838 (2022). https:\/\/doi.org\/10.1109\/TCSVT.2021.3063165","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1499_CR20","doi-asserted-by":"publisher","first-page":"5352","DOI":"10.1109\/TIP.2020.2982534","volume":"29","author":"Z Pan","year":"2020","unstructured":"Pan, Z., Yi, X., Zhang, Y., Jeon, B., Kwong, S.: Efficient in-loop filtering based on enhanced deep convolutional neural networks for hevc. IEEE Trans. Image Process. 29, 5352\u20135366 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"1499_CR21","doi-asserted-by":"crossref","unstructured":"Lu, G., Ouyang, W., Xu, D., Zhang, X., Cai, C., Gao, Z.: Dvc: an end-to-end deep video compression framework. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11006\u201311015 (2019)","DOI":"10.1109\/CVPR.2019.01126"},{"issue":"4","key":"1499_CR22","doi-asserted-by":"publisher","first-page":"4569","DOI":"10.1109\/TPAMI.2022.3210652","volume":"45","author":"Z Hu","year":"2023","unstructured":"Hu, Z., Xu, D., Lu, G., Jiang, W., Wang, W., Liu, S.: Fvc: an end-to-end framework towards deep video compression in feature space. IEEE Trans. Pattern Anal. Mach. Intell. 45(4), 4569\u20134585 (2023). https:\/\/doi.org\/10.1109\/TPAMI.2022.3210652","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1499_CR23","doi-asserted-by":"crossref","unstructured":"Mentzer, F., Agustsson, E., Ball\u00e9, J., Minnen, D., Johnston, N., Toderici, G.: Neural video compression using gans for detail synthesis and propagation. In: Computer Vision\u2013ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23\u201327, 2022, Proceedings, Part XXVI, pp. 562\u2013578 (2022). Springer","DOI":"10.1007\/978-3-031-19809-0_32"},{"issue":"3","key":"1499_CR24","doi-asserted-by":"publisher","first-page":"1592","DOI":"10.1109\/TCSVT.2021.3073114","volume":"32","author":"L Zhao","year":"2022","unstructured":"Zhao, L., Wang, S., Wang, S., Ye, Y., Ma, S., Gao, W.: Enhanced surveillance video compression with dual reference frames generation. IEEE Trans. Circuits Syst. Video Technol. 32(3), 1592\u20131606 (2022). https:\/\/doi.org\/10.1109\/TCSVT.2021.3073114","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1499_CR25","doi-asserted-by":"crossref","unstructured":"Rajin, S.M.A.K., Murshed, M., Paul, M., Teng, S.W., Ma, J.: Human pose based video compression via forward-referencing using deep learning. In: 2022 IEEE International Conference on Visual Communications and Image Processing (VCIP), pp. 1\u20135 (2022)","DOI":"10.1109\/VCIP56404.2022.10008897"},{"key":"1499_CR26","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1109\/LSP.2023.3277343","volume":"30","author":"H Guo","year":"2023","unstructured":"Guo, H., Kwong, S., Jia, C., Wang, S.: Enhanced motion compensation for deep video compression. IEEE Signal Process. Lett. 30, 673\u2013677 (2023). https:\/\/doi.org\/10.1109\/LSP.2023.3277343","journal-title":"IEEE Signal Process. Lett."},{"issue":"7","key":"1499_CR27","doi-asserted-by":"publisher","first-page":"3502","DOI":"10.1109\/TCSVT.2022.3233221","volume":"33","author":"K Lin","year":"2023","unstructured":"Lin, K., Jia, C., Zhang, X., Wang, S., Ma, S., Gao, W.: Dmvc: decomposed motion modeling for learned video compression. IEEE Trans. Circuits Syst. Video Technol. 33(7), 3502\u20133515 (2023). https:\/\/doi.org\/10.1109\/TCSVT.2022.3233221","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"8","key":"1499_CR28","doi-asserted-by":"publisher","first-page":"5650","DOI":"10.1109\/TCSVT.2022.3150014","volume":"32","author":"H Liu","year":"2022","unstructured":"Liu, H., Lu, M., Chen, Z., Cao, X., Ma, Z., Wang, Y.: End-to-end neural video coding using a compound spatiotemporal representation. IEEE Trans. Circuits Syst. Video Technol. 32(8), 5650\u20135662 (2022). https:\/\/doi.org\/10.1109\/TCSVT.2022.3150014","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"5","key":"1499_CR29","doi-asserted-by":"publisher","first-page":"2410","DOI":"10.1109\/TCSVT.2022.3222418","volume":"33","author":"R Yang","year":"2023","unstructured":"Yang, R., Timofte, R., Van Gool, L.: Advancing learned video compression with in-loop frame prediction. IEEE Trans. Circuits Syst. Video Technol. 33(5), 2410\u20132423 (2023). https:\/\/doi.org\/10.1109\/TCSVT.2022.3222418","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1499_CR30","doi-asserted-by":"crossref","unstructured":"Chen, M., Webb, R., Bovik, A.C.: Foveated movi-codec: foveation-based deep video compression without motion. In: 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), pp. 1\u20135 (2022)","DOI":"10.1109\/IVMSP54334.2022.9816221"},{"key":"1499_CR31","doi-asserted-by":"crossref","unstructured":"Li, J., Jia, C., Zhang, X., Ma, S., Gao, W.: Cross modal compression: towards human-comprehensible semantic compression. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 4230\u20134238 (2021)","DOI":"10.1145\/3474085.3475558"},{"issue":"1","key":"1499_CR32","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1109\/JSAC.2022.3221953","volume":"41","author":"P Tandon","year":"2023","unstructured":"Tandon, P., Chandak, S., Pataranutaporn, P., Liu, Y., Mapuranga, A.M., Maes, P., Weissman, T., Sra, M.: Txt2vid: ultra-low bitrate compression of talking-head videos via text. IEEE J. Sel. Areas Commun. 41(1), 107\u2013118 (2023). https:\/\/doi.org\/10.1109\/JSAC.2022.3221953","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"1499_CR33","doi-asserted-by":"crossref","unstructured":"Oquab, M., Stock, P., Haziza, D., Xu, T., Zhang, P., Celebi, O., Hasson, Y., Labatut, P., Bose-Kolanu, B., Peyronel, T., : Low bandwidth video-chat compression using deep generative models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2388\u20132397 (2021)","DOI":"10.1109\/CVPRW53098.2021.00271"},{"key":"1499_CR34","doi-asserted-by":"crossref","unstructured":"Wang, T.-C., Mallya, A., Liu, M.-Y.: One-shot free-view neural talking-head synthesis for video conferencing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10039\u201310049 (2021)","DOI":"10.1109\/CVPR46437.2021.00991"},{"key":"1499_CR35","doi-asserted-by":"crossref","unstructured":"Tang, A., Huang, Y., Ling, J., Zhang, Z., Zhang, Y., Xie, R., Song, L.: Generative compression for face video: a hybrid scheme. In: 2022 IEEE International Conference on Multimedia and Expo (ICME), pp. 1\u20136 (2022). IEEE","DOI":"10.1109\/ICME52920.2022.9859867"},{"key":"1499_CR36","doi-asserted-by":"crossref","unstructured":"Konuko, G., Valenzise, G., Lathuili\u00e8re, S.: Ultra-low bitrate video conferencing using deep image animation. In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4210\u20134214 (2021). IEEE","DOI":"10.1109\/ICASSP39728.2021.9414731"},{"key":"1499_CR37","doi-asserted-by":"crossref","unstructured":"Konuko, G., Lathuili\u00e8re, S., Valenzise, G.: A hybrid deep animation codec for low-bitrate video conferencing. In: IEEE International Conference on Image Processing (2022)","DOI":"10.1109\/ICIP46576.2022.10458867"},{"key":"1499_CR38","doi-asserted-by":"publisher","unstructured":"Konuko, G., Lathuili\u00e8re, S., Valenzise, G.: Predictive coding for animation-based video compression. In: 2023 IEEE International Conference on Image Processing (ICIP), pp. 2810\u20132814 (2023). https:\/\/doi.org\/10.1109\/ICIP49359.2023.10222205","DOI":"10.1109\/ICIP49359.2023.10222205"},{"key":"1499_CR39","doi-asserted-by":"publisher","unstructured":"Chen, B., Wang, Z., Li, B., Lin, R., Wang, S., Ye, Y.: Beyond keypoint coding: Temporal evolution inference with compact feature representation for talking face video compression. In: 2022 Data Compression Conference (DCC), pp. 13\u201322 (2022). https:\/\/doi.org\/10.1109\/DCC52660.2022.00009","DOI":"10.1109\/DCC52660.2022.00009"},{"key":"1499_CR40","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3271130","author":"B Chen","year":"2023","unstructured":"Chen, B., Wang, Z., Li, B., Wang, S., Ye, Y.: Compact temporal trajectory representation for talking face video compression. IEEE Trans. Circuits Syst. Video Technol. (2023). https:\/\/doi.org\/10.1109\/TCSVT.2023.3271130","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1499_CR41","doi-asserted-by":"crossref","unstructured":"Tao, J., Wang, B., Xu, B., Ge, T., Jiang, Y., Li, W., Duan, L.: Structure-aware motion transfer with deformable anchor model. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3637\u20133646 (2022)","DOI":"10.1109\/CVPR52688.2022.00362"},{"key":"1499_CR42","doi-asserted-by":"crossref","unstructured":"Sun, K., Xiao, B., Liu, D., Wang, J.: Deep high-resolution representation learning for human pose estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5693\u20135703 (2019)","DOI":"10.1109\/CVPR.2019.00584"},{"key":"1499_CR43","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: International Conference on Medical Image Computing and Computer-assisted Intervention, pp. 234\u2013241 (2015). Springer","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"1\u201310","key":"1499_CR44","first-page":"4","volume":"5","author":"J-Y Bouguet","year":"2001","unstructured":"Bouguet, J.-Y.: Pyramidal implementation of the affine lucas kanade feature tracker description of the algorithm. Intel Corp. 5(1\u201310), 4 (2001)","journal-title":"Intel Corp."},{"key":"1499_CR45","doi-asserted-by":"crossref","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Proceedings, Part II 14, pp. 694\u2013711 (2016). Springer","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"1499_CR46","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der\u00a0Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4700\u20134708 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"1499_CR47","doi-asserted-by":"crossref","unstructured":"Konuko, G., Lathuili\u00e8re, S., Valenzise, G.: H-dac: Hybrid coding with deep animation models for ultra-low bitrate video conferencing. ICIP (2022)","DOI":"10.1109\/ICIP46576.2022.10458867"},{"key":"1499_CR48","doi-asserted-by":"crossref","unstructured":"Nagrani, A., Chung, J.S., Zisserman, A.: Voxceleb: a large-scale speaker identification dataset. In: INTERSPEECH, vol. 6 (2017)","DOI":"10.21437\/Interspeech.2017-950"},{"key":"1499_CR49","first-page":"51","volume":"6","author":"P Zablotskaia","year":"2019","unstructured":"Zablotskaia, P., Siarohin, A., Zhao, B., Sigal, L.: Dwnet: dense warp-based network for pose-guided human video generation. BMVC 6, 51 (2019)","journal-title":"BMVC"},{"issue":"5","key":"1499_CR50","first-page":"2567","volume":"44","author":"K Ding","year":"2020","unstructured":"Ding, K., Ma, K., Wang, S., Simoncelli, E.P.: Image quality assessment: unifying structure and texture similarity. IEEE Trans. Pattern Anal. Mach. Intell. 44(5), 2567\u20132581 (2020)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1499_CR51","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 586\u2013595 (2018)","DOI":"10.1109\/CVPR.2018.00068"},{"key":"1499_CR52","doi-asserted-by":"crossref","unstructured":"Cao, Z., Simon, T., Wei, S.-E., Sheikh, Y.: Realtime multi-person 2d pose estimation using part affinity fields. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7291\u20137299 (2017)","DOI":"10.1109\/CVPR.2017.143"},{"key":"1499_CR53","doi-asserted-by":"crossref","unstructured":"Bulat, A., Tzimiropoulos, G.: How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks). In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1021\u20131030 (2017)","DOI":"10.1109\/ICCV.2017.116"},{"key":"1499_CR54","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization (2014). arXiv preprint arXiv:1412.6980"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-024-01499-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-024-01499-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-024-01499-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T09:06:21Z","timestamp":1734339981000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-024-01499-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,8]]},"references-count":54,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["1499"],"URL":"https:\/\/doi.org\/10.1007\/s00530-024-01499-2","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,8]]},"assertion":[{"value":"23 January 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 October 2024","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"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}}],"article-number":"311"}}