{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:22:58Z","timestamp":1760955778880},"reference-count":31,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/icip.2017.8296560","type":"proceedings-article","created":{"date-parts":[[2018,2,22]],"date-time":"2018-02-22T22:03:23Z","timestamp":1519337003000},"page":"1642-1646","source":"Crossref","is-referenced-by-count":8,"title":["Video super-resolution using motion compensation and residual bidirectional recurrent convolutional network"],"prefix":"10.1109","author":[{"given":"Dingyi","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zengfu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.50"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref13","first-page":"2802","article-title":"Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections","author":"mao","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref15","article-title":"Photo-realistic single image super-resolution using a generative adversarial network","author":"ledig","year":"2016","journal-title":"Arxiv preprint arXiv"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2004.834669"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.127"},{"key":"ref19","first-page":"5224","article-title":"Handling motion blur in multi-frame super-resolution","author":"ma","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recog"},{"journal-title":"Neural networks for machine learning lecture 6a overview of mini-batch gradient descent","year":"0","author":"geoffrey","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/38.988747"},{"year":"0","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2050625"},{"year":"2014","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315043"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299003"},{"key":"ref7","first-page":"111","article-title":"A+: Adjusted anchored neighborhood regression for fast super-resolution","author":"timofte","year":"2014","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459271"},{"key":"ref9","first-page":"184","article-title":"Learning a deep convolutional network for image super-resolution","author":"dong","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-014-0623-4"},{"key":"ref20","first-page":"235","article-title":"Bidirectional recurrent convolutional networks for multi-frame super-resolution","author":"huang","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2532323"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.68"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2011.6082986"},{"key":"ref23","first-page":"1","article-title":"Video super-resolution via motion compensation and deep residual learning","author":"li","year":"2017","journal-title":"I IEEE Transactions on Computers"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref25","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proc Int Conf Mach Learn"}],"event":{"name":"2017 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2017,9,17]]},"location":"Beijing","end":{"date-parts":[[2017,9,20]]}},"container-title":["2017 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8267582\/8296222\/08296560.pdf?arnumber=8296560","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,4,11]],"date-time":"2018-04-11T21:13:39Z","timestamp":1523481219000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8296560\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/icip.2017.8296560","relation":{},"subject":[],"published":{"date-parts":[[2017,9]]}}}