{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T14:28:03Z","timestamp":1780324083423,"version":"3.54.1"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022YFE0200300"],"award-info":[{"award-number":["2022YFE0200300"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62120106009"],"award-info":[{"award-number":["62120106009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L223022"],"award-info":[{"award-number":["L223022"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Taishan Scholar Project of Shandong Province","award":["tsqn202306079"],"award-info":[{"award-number":["tsqn202306079"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1109\/tcsvt.2023.3307438","type":"journal-article","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T17:49:25Z","timestamp":1692726565000},"page":"2934-2948","source":"Crossref","is-referenced-by-count":15,"title":["Exploring Resolution Fields for Scalable Image Compression With Uncertainty Guidance"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-3811-0510","authenticated-orcid":false,"given":"Dongyi","family":"Zhang","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9862-0432","authenticated-orcid":false,"given":"Feng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Hefei University of Technology, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8062-5566","authenticated-orcid":false,"given":"Man","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0972-4008","authenticated-orcid":false,"given":"Runmin","family":"Cong","sequence":"additional","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Shandong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3879-8957","authenticated-orcid":false,"given":"Huihui","family":"Bai","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3094-7735","authenticated-orcid":false,"given":"Meng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Hefei University of Technology, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8581-9554","authenticated-orcid":false,"given":"Yao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/30.125072"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/79.952804"},{"key":"ref3","volume-title":"BPG Image Format","author":"Bellard","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/PCS.2016.7906310"},{"key":"ref5","first-page":"1","article-title":"Variational image compression with a scale hyperprior","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Ball\u00e9"},{"key":"ref6","first-page":"1","article-title":"End-to-end optimized image compression","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Ball\u00e9"},{"key":"ref7","first-page":"1","article-title":"Context-adaptive entropy model for end-to-end optimized image compression","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Lee"},{"key":"ref8","first-page":"1","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Minnen"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2022.3209661"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2985225"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01709"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00796"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3274988"},{"key":"ref14","first-page":"1","article-title":"Variable rate image compression with recurrent neural networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Toderici"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2880492"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00461"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00324"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9190935"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01564"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2007.905532"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2461951"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.01177"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3114548"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10562-9"},{"key":"ref25","first-page":"1","article-title":"Scale mixtures of Gaussians and the statistics of natural images","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"12","author":"Wainwright"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3199472"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01697"},{"key":"ref30","first-page":"2922","article-title":"Real-time adaptive image compression","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Rippel"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00031"},{"key":"ref32","first-page":"1","article-title":"High-fidelity generative image compression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Mentzer"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.577"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00496"},{"key":"ref36","article-title":"DeepFGS: Fine-grained scalable coding for learned image compression","author":"Ma","year":"2022","journal-title":"arXiv:2201.01173"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3042517"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3160602"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3241225"},{"key":"ref40","first-page":"1","article-title":"What uncertainties do we need in Bayesian deep learning for computer vision?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Kendall"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19775-8_15"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3205208"},{"key":"ref43","first-page":"2782","article-title":"Efficient and scalable Bayesian neural nets with rank-1 factors","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Dusenberry"},{"key":"ref44","first-page":"4697","article-title":"Bayesian deep learning and a probabilistic perspective of generalization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Wilson"},{"key":"ref45","first-page":"16398","article-title":"Uncertainty-driven loss for single image super-resolution","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Ning"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1981.1056282"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3047209"},{"key":"ref48","first-page":"1","article-title":"Categorical reparameterization with Gumbel-Softmax","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Jang"},{"key":"ref49","first-page":"1","article-title":"Dynamic channel pruning: Feature boosting and suppression","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Gao"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00488"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1120.003.0094"},{"key":"ref52","article-title":"CLIC: Workshop and challenge on learned image compression","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Toderici"},{"key":"ref53","volume":"4","author":"Franzen","year":"1999","journal-title":"Kodak Lossless True Color Image Suite"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref55","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kingma"},{"key":"ref56","first-page":"265","article-title":"TensorFlow: A system for large-scale machine learning","volume-title":"Proc. Symp. Operating Syst. Design Implement.","author":"Abadi"},{"key":"ref57","article-title":"TensorFlow-compression","author":"Ball\u00e9","year":"2019"},{"key":"ref58","volume-title":"SHM-12.4 Software Package","year":"2017"},{"key":"ref59","volume-title":"JSVM-9.19 Software Package","year":"2007"},{"key":"ref60","volume-title":"FFmpeg Tool","year":"2022"},{"key":"ref61","article-title":"Calculation of average PSNR differences between RD-curves","author":"Bjontegaard","year":"2001"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/10492617\/10226331.pdf?arnumber=10226331","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T19:54:09Z","timestamp":1712692449000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10226331\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":61,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2023.3307438","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4]]}}}