{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T16:24:41Z","timestamp":1768407881820,"version":"3.49.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T00:00:00Z","timestamp":1607990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T00:00:00Z","timestamp":1607990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T00:00:00Z","timestamp":1607990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002261","name":"Russian Foundation for Basic Research","doi-asserted-by":"publisher","award":["19-01-00785 a"],"award-info":[{"award-number":["19-01-00785 a"]}],"id":[{"id":"10.13039\/501100002261","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,15]]},"DOI":"10.1109\/ic3d51119.2020.9376385","type":"proceedings-article","created":{"date-parts":[[2021,3,18]],"date-time":"2021-03-18T20:07:04Z","timestamp":1616098024000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Neural-Network-Based Detection Methods for Color, Sharpness, and Geometry Artifacts in Stereoscopic and VR180 Videos"],"prefix":"10.1109","author":[{"given":"Sergey","family":"Lavrushkin","sequence":"first","affiliation":[]},{"given":"Konstantin","family":"Kozhemyakov","sequence":"additional","affiliation":[]},{"given":"Dmitriy","family":"Vatolin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00442"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00282"},{"key":"ref12","author":"sun","year":"2019","journal-title":"Attentive context normalization for robust permutation-equivariant learning"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.12"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00723"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2016.5.SDA-439"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2008.4711763"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1023808"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.181"},{"key":"ref19","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proceedings of the 13th International Conference on Artificial Intelligence and Statistics"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2013.6694209"},{"key":"ref3","first-page":"90160q","article-title":"Efficient measurement of stereoscopic 3D video content issues","volume":"9016","author":"winkler","year":"2014","journal-title":"Image Quality and System Performance"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1117\/12.906209"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IC3D.2014.7032572"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IC3D.2017.8251897"},{"key":"ref1","year":"0","journal-title":"VR180"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.267"},{"key":"ref20","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref21","first-page":"611","article-title":"A naturalistic open source movie for optical flow evaluation","author":"butler","year":"2012","journal-title":"European Conference on Computer Vision"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref23","first-page":"448","article-title":"Batch normalization: accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"International Conference on Machine Learning"}],"event":{"name":"2020 International Conference on 3D Immersion (IC3D)","location":"Brussels, Belgium","start":{"date-parts":[[2020,12,15]]},"end":{"date-parts":[[2020,12,15]]}},"container-title":["2020 International Conference on 3D Immersion (IC3D)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9376314\/9376320\/09376385.pdf?arnumber=9376385","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:26:30Z","timestamp":1656375990000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9376385\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,15]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ic3d51119.2020.9376385","relation":{},"subject":[],"published":{"date-parts":[[2020,12,15]]}}}