{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T15:15:26Z","timestamp":1773155726064,"version":"3.50.1"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T00:00:00Z","timestamp":1665878400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T00:00:00Z","timestamp":1665878400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,16]]},"DOI":"10.1109\/icip46576.2022.9897757","type":"proceedings-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T21:27:24Z","timestamp":1667510844000},"page":"2251-2255","source":"Crossref","is-referenced-by-count":9,"title":["Content-Adaptive Neural Network Post-Processing Filter with NNR-Coded Weight-Updates"],"prefix":"10.1109","author":[{"given":"Maria","family":"Santamaria","sequence":"first","affiliation":[{"name":"Nokia Technologies,Tampere,Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Cricri","sequence":"additional","affiliation":[{"name":"Nokia Technologies,Tampere,Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jani","family":"Lainema","sequence":"additional","affiliation":[{"name":"Nokia Technologies,Tampere,Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramin G.","family":"Youvalari","sequence":"additional","affiliation":[{"name":"Nokia Technologies,Tampere,Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honglei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nokia Technologies,Tampere,Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miska M.","family":"Hannuksela","sequence":"additional","affiliation":[{"name":"Nokia Technologies,Tampere,Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Versatile video coding","year":"2020"},{"key":"ref2","article-title":"High efficiency video coding","year":"2013"},{"key":"ref3","article-title":"AHG report: test model software development (AHG3)","volume-title":"JVET 25th Meeting, document JVET-Y0003","author":"Bossen"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3072297"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2896489"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3084345"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/PCS50896.2021.9477473"},{"key":"ref8","article-title":"Compressing weight-updates for image artifacts removal neural networks","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops","author":"Lam"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413536"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISM52913.2021.00025"},{"key":"ref11","article-title":"7z format","author":"Pavlov","year":"2009"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP53242.2021.9675360"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3095970"},{"key":"ref14","article-title":"Compression of neural networks for multimedia content description and analysis","year":"2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2969554"},{"key":"ref16","article-title":"JVET common test conditions and evaluation procedures for neural network-based video coding technology","volume-title":"JVET 24th Meeting, document JVET-X2016","author":"Liu"},{"key":"ref17","article-title":"Calculation of average PSNR differences between RD-curves","volume-title":"VCEG 13th Meeting, document VCEG-M33","author":"Bj\u00f8ntegaard"},{"key":"ref18","article-title":"EE1-related: neural network-based in-loop filter with constrained computational complexity","volume-title":"JVET 23rd Meeting, document JVET-W0131","author":"Wang"},{"key":"ref19","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume-title":"ICML Workshop on Deep Learning for Audio, Speech and Language Processing","author":"Maas"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506655"},{"key":"ref21","article-title":"BVI-DVC","author":"Zhang","year":"2020","journal-title":"Dataset, University of Bristol"},{"key":"ref22","article-title":"Adam: A method for stochastic optimization","volume-title":"3rd International Conference on Learning Representations (ICLR)","author":"Kingma"},{"key":"ref23","article-title":"Conformance and reference software for compact descriptors for video analysis","year":"2021"},{"key":"ref24","article-title":"EE1: Summary of exploration experiments on neural network-based video coding","volume-title":"JVET 24th Meeting, document JVET-X0023","author":"Alshina"}],"event":{"name":"2022 IEEE International Conference on Image Processing (ICIP)","location":"Bordeaux, France","start":{"date-parts":[[2022,10,16]]},"end":{"date-parts":[[2022,10,19]]}},"container-title":["2022 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9897158\/9897159\/09897757.pdf?arnumber=9897757","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T20:50:55Z","timestamp":1705956655000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9897757\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,16]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icip46576.2022.9897757","relation":{},"subject":[],"published":{"date-parts":[[2022,10,16]]}}}