{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:50:29Z","timestamp":1761648629907},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"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":[[2019,5]]},"DOI":"10.1109\/icassp.2019.8682158","type":"proceedings-article","created":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T20:01:56Z","timestamp":1555531316000},"page":"2027-2031","source":"Crossref","is-referenced-by-count":21,"title":["Predicting Video-frames Using Encoder-convlstm Combination"],"prefix":"10.1109","author":[{"given":"Subham","family":"Mukherjee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Spandan","family":"Ghosh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Souvik","family":"Ghosh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pradeep","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Partha Pratim","family":"Roy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Decomposing motion and content for natural video sequence prediction","year":"2017","author":"villegas","key":"ref10"},{"article-title":"Transformation-based models of video sequences","year":"2017","author":"amersfoort","key":"ref11"},{"article-title":"Parallel wavenet: Fast high-fidelity speech synthesis","year":"2017","author":"van den oord","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.361"},{"article-title":"Auto-encoding variational bayes","year":"2013","author":"kingma","key":"ref14"},{"article-title":"Mocogan: Decomposing motion and content for video generation","year":"2017","author":"tulyakov","key":"ref15"},{"key":"ref16","first-page":"2352","article-title":"Variational autoencoder for deep learning of images, labels and captions","author":"pu","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref17","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":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334462"},{"article-title":"Ucf101: A dataset of 101 human actions classes from videos in the wild","year":"2012","author":"soomro","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.478"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.194"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_26"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.159"},{"key":"ref8","first-page":"4414","article-title":"Unsupervised learning of disentangled representations from video","author":"denton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref7","first-page":"613","article-title":"Generating videos with scene dynamics","author":"vondrick","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.131"},{"article-title":"Nips 2016 tutorial: Generative adversarial networks","year":"2016","author":"goodfellow","key":"ref1"},{"key":"ref9","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Advances in neural information processing systems"}],"event":{"name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2019,5,12]]},"location":"Brighton, United Kingdom","end":{"date-parts":[[2019,5,17]]}},"container-title":["ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8671773\/8682151\/08682158.pdf?arnumber=8682158","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:10:26Z","timestamp":1657854626000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8682158\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icassp.2019.8682158","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}