{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T18:08:54Z","timestamp":1772042934602,"version":"3.50.1"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Key-Area Research and Development Program of Guangdong Province","award":["2021B0101400002"],"award-info":[{"award-number":["2021B0101400002"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62171340"],"award-info":[{"award-number":["62171340"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61991451"],"award-info":[{"award-number":["61991451"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61771473"],"award-info":[{"award-number":["61771473"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20200649"],"award-info":[{"award-number":["BK20200649"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Project of Shaanxi Provincial Department of Education","award":["20JY024"],"award-info":[{"award-number":["20JY024"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tip.2022.3190711","type":"journal-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T19:29:33Z","timestamp":1658258973000},"page":"4937-4951","source":"Crossref","is-referenced-by-count":7,"title":["From Whole Video to Frames: Weakly-Supervised Domain Adaptive Continuous-Time QoE Evaluation"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9069-8796","authenticated-orcid":false,"given":"Leida","family":"Li","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0509-3782","authenticated-orcid":false,"given":"Pengfei","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9866-1947","authenticated-orcid":false,"given":"Weisi","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0277-3301","authenticated-orcid":false,"given":"Mai","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2179-3292","authenticated-orcid":false,"given":"Guangming","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Visual Networking Index: Global Mobile Data Traffic Forecast Update 2016\u20132021","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3060255"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2742601"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2705423"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2729891"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2895223"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3130536"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3145326"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1117\/12.873390"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2012.6263849"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2016.2608329"},{"key":"ref12","article-title":"Learning to predict streaming video QoE: Distortions, rebuffering and memory","author":"Bampis","year":"2017","journal-title":"arXiv:1703.00633"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2018.8486557"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2790347"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2815842"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995702"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126344"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247911"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.57"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2704624"},{"key":"ref21","first-page":"136","article-title":"Unsupervised domain adaptation with residual transfer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Long"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00397"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2910667"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00712"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00352"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref27","first-page":"5767","article-title":"Improved training of Wasserstein GANs","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Gulrajani"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00642"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6854"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3038372"},{"key":"ref34","first-page":"305","article-title":"Rethinking spatiotemporal feature learning: Speed-accuracy rrade-offs in video classification","volume-title":"Proc. Eur. Conf. Comput. Vis. (ECCV)","author":"Xie"},{"key":"ref35","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Tan"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5946613"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_35"},{"key":"ref38","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Ganin"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00310"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2312613"},{"key":"ref41","article-title":"Towards perceptually optimized end-to-end adaptive video streaming","author":"Bampis","year":"2018","journal-title":"arXiv:1808.03898"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2768542"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2018.2822870"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123418"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8802978"},{"key":"ref46","volume-title":"Final Report From the Video Quality Experts Group on the Validation of Objective Models of Video Quality Assessment Phase II","year":"2003"},{"key":"ref47","volume-title":"Recommendation: Methodology for the Subjective Assessment of the Quality of Television Pictures","year":"2011"},{"key":"ref48","volume-title":"Final Report From the Video Quality Experts Group on the Validation of Objective Models of Video Quality Assessment","year":"2000"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.2307\/j.ctvcm4g18.8"},{"key":"ref51","volume-title":"Toward a Practical Perceptual Video Quality Metric","author":"Li","year":"2016"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2214933"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2502725"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2562513"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2017.7965673"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2707479"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2869673"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/MMSP.2019.8901772"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2299154"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2923051"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3072221"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351028"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413717"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/OJSP.2021.3090333"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01380"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9626658\/09833385.pdf?arnumber=9833385","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T06:33:55Z","timestamp":1706769235000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9833385\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/tip.2022.3190711","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}