{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T22:27:31Z","timestamp":1770330451671,"version":"3.49.0"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["U1908209"],"award-info":[{"award-number":["U1908209"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62021001"],"award-info":[{"award-number":["62021001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tip.2023.3287495","type":"journal-article","created":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T03:42:10Z","timestamp":1687578130000},"page":"3567-3579","source":"Crossref","is-referenced-by-count":26,"title":["Learning Cross-Scale Weighted Prediction for Efficient Neural Video Compression"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3770-3442","authenticated-orcid":false,"given":"Zongyu","family":"Guo","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6608-0785","authenticated-orcid":false,"given":"Runsen","family":"Feng","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2031-918X","authenticated-orcid":false,"given":"Zhizheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1820-8358","authenticated-orcid":false,"given":"Xin","family":"Jin","sequence":"additional","affiliation":[{"name":"Eastern Institute of Technology, Ningbo, Zhejiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8525-5066","authenticated-orcid":false,"given":"Zhibo","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00853"},{"key":"ref57","year":"2021","journal-title":"VTM"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00713"},{"key":"ref56","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58520-4_27"},{"key":"ref59","article-title":"Calculation of average PSNR differences between RD-curves","author":"bjontegaard","year":"2001","journal-title":"Proc VCEG-M"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00360"},{"key":"ref58","year":"2021","journal-title":"HM"},{"key":"ref53","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"bengio","year":"2013","journal-title":"arXiv 1308 3432"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00953"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2892608"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-01144-2"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01126"},{"key":"ref54","article-title":"Neural video compression using GANs for detail synthesis and propagation","author":"mentzer","year":"2021","journal-title":"arXiv 2107 12038"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3035680"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00155"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_26"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01421"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00068"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_27"},{"key":"ref45","article-title":"Deep contextual video compression","author":"li","year":"2021","journal-title":"arXiv 2109 15047"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00583"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3220421"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00031"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01039"},{"key":"ref44","article-title":"Versatile learned video compression","author":"feng","year":"2021","journal-title":"arXiv 2111 03386"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3138300"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547845"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2294549"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3101953"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2877355"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3089491"},{"key":"ref3","first-page":"11913","article-title":"High-fidelity generative image compression","volume":"33","author":"mentzer","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1109\/TCSVT.2003.815165","article-title":"overview of the h.264\/avc video coding standard","volume":"13","author":"wiegand","year":"2003","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00324"},{"key":"ref35","article-title":"Context-adaptive entropy model for end-to-end optimized image compression","author":"lee","year":"2019","journal-title":"Proc 7th Int Conf Learn Represent (ICLR)"},{"key":"ref34","first-page":"10771","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume":"31","author":"minnen","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","first-page":"1141","article-title":"Soft-to-hard vector quantization for end-to-end learning compressible representations","volume":"30","author":"agustsson","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3058615"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3339825.3394937"},{"key":"ref30","first-page":"3920","article-title":"Soft then hard: Rethinking the quantization in neural image compression","volume":"139","author":"guo","year":"2021","journal-title":"Proc 38th Int Conf Mach Learn"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532610"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00796"},{"key":"ref1","article-title":"Variational image compression with a scale hyperprior","author":"ball\u00e9","year":"2018","journal-title":"Proc 6th Int Conf Learn Represent (ICLR)"},{"key":"ref39","first-page":"12367","article-title":"Universally quantized neural compression","volume":"33","author":"agustsson","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","first-page":"573","article-title":"Improving inference for neural image compression","volume":"33","author":"yang","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","volume":"256","author":"lindeberg","year":"2013","journal-title":"Scale-Space Theory in Computer Vision"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1974.1092258"},{"key":"ref26","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","author":"zhu","year":"2020","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00652"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00661"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00666"},{"key":"ref28","article-title":"Conditional coding for flexible learned video compression","author":"ladune","year":"2021","journal-title":"Proc Int Conf Learn Represent (ICLR) Neural Compress Workshop"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref29","article-title":"End-to-end optimized image compression","author":"ball\u00e9","year":"2017","journal-title":"Proc 5th Int Conf Learn Represent (ICLR)"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2988453"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9991910\/10159648.pdf?arnumber=10159648","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T17:58:53Z","timestamp":1689616733000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10159648\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/tip.2023.3287495","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}