{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T02:16:51Z","timestamp":1774923411561,"version":"3.50.1"},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1109\/vcip.2017.8305033","type":"proceedings-article","created":{"date-parts":[[2018,3,1]],"date-time":"2018-03-01T16:58:45Z","timestamp":1519923525000},"page":"1-4","source":"Crossref","is-referenced-by-count":75,"title":["DeepCoder: A deep neural network based video compression"],"prefix":"10.1109","author":[{"given":"Tong","family":"Chen","sequence":"first","affiliation":[]},{"given":"Haojie","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Qiu","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Tao","family":"Yue","sequence":"additional","affiliation":[]},{"given":"Xun","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Zhan","family":"Ma","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","author":"yu","year":"2016","journal-title":"Deep Convolution Networks for Compression Artifacts Reduction"},{"key":"ref11","author":"zeiler","year":"2012","journal-title":"ADADELTA An Adaptive Learning Rate Method"},{"key":"ref12","author":"kingma","year":"2017","journal-title":"Adam A method for stochastic optimization"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1109\/TCSVT.2003.815165","article-title":"overview of the h.264\/avc video coding standard","volume":"13","author":"wiegand","year":"2003","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"ref14","year":"2016","journal-title":"X264"},{"key":"ref15","article-title":"Calculation of average PSNR differences between R-D curves","author":"bjontegaard","year":"2001","journal-title":"Doc VCEG-M33 ITU-T VCEG 13th Meeting"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/26.223785"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2014.6890314"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2011.2135332"},{"key":"ref6","article-title":"Variable rate image compression with recurrent neural networks","volume":"abs 1511 6085","author":"toderici","year":"2015","journal-title":"CoRR"},{"key":"ref5","article-title":"Novel lossy compression algorithms with stacked autoencoders","author":"atreya","year":"2009","journal-title":"Tech Rep"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref7","article-title":"Full resolution image compression with recurrent neural networks","volume":"abs 1608 5148","author":"toderici","year":"2016","journal-title":"CoRR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2004.828329"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2004.839617"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"}],"event":{"name":"2017 IEEE Visual Communications and Image Processing (VCIP)","location":"St. Petersburg, FL","start":{"date-parts":[[2017,12,10]]},"end":{"date-parts":[[2017,12,13]]}},"container-title":["2017 IEEE Visual Communications and Image Processing (VCIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8301388\/8305018\/08305033.pdf?arnumber=8305033","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T23:46:57Z","timestamp":1570837617000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8305033\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/vcip.2017.8305033","relation":{},"subject":[],"published":{"date-parts":[[2017,12]]}}}