{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:07:58Z","timestamp":1730246878391,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":[[2019,9]]},"DOI":"10.1109\/icip.2019.8803790","type":"proceedings-article","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T19:32:48Z","timestamp":1566847968000},"page":"724-728","source":"Crossref","is-referenced-by-count":2,"title":["Long Short Term Memory Networks for Light Field View Synthesis"],"prefix":"10.1109","author":[{"given":"Matthieu","family":"Hog","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Neus","family":"Sabater","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christine","family":"Guillemot","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2980251"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"2146","DOI":"10.1109\/TIP.2018.2794181","article-title":"Spatial and angular resolution enhancement of light fields using convolutional neural networks","volume":"27","author":"khan gul","year":"2018","journal-title":"IEEE Transactions on Image Processing"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"article-title":"Gradient flow in recurrent nets: the difficulty of learning long-term dependencies","year":"0","author":"hochreiter","key":"ref13"},{"key":"ref14","first-page":"802","article-title":"Convolutional lstm network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.614"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"article-title":"Deep multi-scale video prediction beyond mean square error","year":"2015","author":"mathieu","key":"ref17"},{"article-title":"Stanford lytro light field archive","year":"2016","author":"abhilash sunder raj","key":"ref18"},{"key":"ref19","article-title":"New light field image dataset","author":"rerabek","year":"2016","journal-title":"International Conference on Quality of Multimedia Experience (QoMEX)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237200"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/218380.218398"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.147"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383309"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3130800.3130855"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.499"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2487228.2487238"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2011.01981.x"},{"key":"ref9","first-page":"5515","article-title":"Deepstereo: Learning to predict new views from the world&#x2019;s imagery","author":"flynn","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"article-title":"Inria lytro illum light field dataset","year":"2016","author":"guillemot","key":"ref20"},{"article-title":"Frame interpolation with multi-scale deep loss functions and generative adversarial networks","year":"2017","author":"amersfoort","key":"ref22"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref21"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13037"}],"event":{"name":"2019 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2019,9,22]]},"location":"Taipei, Taiwan","end":{"date-parts":[[2019,9,25]]}},"container-title":["2019 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8791230\/8799366\/08803790.pdf?arnumber=8803790","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T14:46:27Z","timestamp":1658155587000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8803790\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/icip.2019.8803790","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}