{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T15:30:34Z","timestamp":1778167834322,"version":"3.51.4"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61876013"],"award-info":[{"award-number":["61876013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61922009"],"award-info":[{"award-number":["61922009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61573037"],"award-info":[{"award-number":["61573037"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tip.2020.3003730","type":"journal-article","created":{"date-parts":[[2020,6,25]],"date-time":"2020-06-25T20:19:15Z","timestamp":1593116355000},"page":"7482-7496","source":"Crossref","is-referenced-by-count":24,"title":["Accelerate CTU Partition to Real Time for HEVC Encoding With Complexity Control"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7038-7798","authenticated-orcid":false,"given":"Tianyi","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0277-3301","authenticated-orcid":false,"given":"Mai","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4708-6572","authenticated-orcid":false,"given":"Xin","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2148-6279","authenticated-orcid":false,"given":"Liquan","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Pruning filters for efficient convNets","author":"li","year":"2016","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref38","first-page":"1","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume":"30","author":"maas","year":"2013","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref33","year":"2019","journal-title":"x265"},{"key":"ref32","year":"2019","journal-title":"TensorFlow™"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00460"},{"key":"ref30","first-page":"3466","article-title":"Extremely low bit neural network: Squeeze the last bit out with admm","author":"leng","year":"2018","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref37","first-page":"1","article-title":"Pruning convolutional neural networks for resource efficient inference","author":"molchanov","year":"2017","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref36","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/PCS.2018.8456278"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2018.8551532"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2341927"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/BMSB.2016.7521923"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2015.7415439"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2444672"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2363753"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2417498"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2619499"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2017.2711142"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2857404"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2601264"},{"key":"ref28","first-page":"1","article-title":"Speeding-up convolutional neural networks using fine-tuned CP-decomposition","author":"lebedev","year":"2015","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref4","year":"2014","journal-title":"HM Software"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2502579"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2223411"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CMSP.2011.167"},{"key":"ref29","first-page":"1","article-title":"Compression of deep convolutional neural networks for fast and low power mobile applications","author":"kim","year":"2015","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221255"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2013.2249017"},{"key":"ref7","first-page":"453","article-title":"Fast coding unit size selection for HEVC based on Bayesian decision rule","author":"shen","year":"2012","journal-title":"Proc Picture Coding Symp (PCS)"},{"key":"ref2","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":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2291958"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.2307\/1267351"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451290"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1287\/opre.11.3.399"},{"key":"ref48","year":"2020","journal-title":"VTM Software"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2839113"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221192"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s00034-019-01110-4"},{"key":"ref42","author":"burden","year":"1985","journal-title":"Numerical Analysis"},{"key":"ref24","first-page":"1","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"han","year":"2016","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref41","first-page":"1","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2014","journal-title":"Int Conf Neural Inf Process Syst Workshop (NIPSW)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2847035"},{"key":"ref44","author":"bossen","year":"2013","journal-title":"Common Test Conditions and Software Reference Configurations"},{"key":"ref26","first-page":"2074","article-title":"Learning structured sparsity in deep neural networks","author":"wen","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proc Int Conf Artif Intell Statist (AISTATS)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.280"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8835130\/09126122.pdf?arnumber=9126122","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:39:04Z","timestamp":1651070344000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9126122\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.3003730","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}