{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:10:44Z","timestamp":1730247044317,"version":"3.28.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T00:00:00Z","timestamp":1665878400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T00:00:00Z","timestamp":1665878400000},"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":[[2022,10,16]]},"DOI":"10.1109\/icip46576.2022.9897380","type":"proceedings-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T17:27:24Z","timestamp":1667496444000},"page":"1191-1195","source":"Crossref","is-referenced-by-count":0,"title":["Image Compression Based on Importance Using Optimal Mass Transportation Map"],"prefix":"10.1109","author":[{"given":"Zihang","family":"Li","sequence":"first","affiliation":[{"name":"Zhejiang University,Collaborative Innovation Center of Artificial Intelligence, College of Computer Science and Technology,Hangzhou,Zhejiang,China"}]},{"given":"Dongsheng","family":"An","sequence":"additional","affiliation":[{"name":"Stony Brook University,Department of Computer Science,Stony Brook,NY,USA"}]},{"given":"Yingjie","family":"Feng","sequence":"additional","affiliation":[{"name":"Zhejiang University,Collaborative Innovation Center of Artificial Intelligence, College of Computer Science and Technology,Hangzhou,Zhejiang,China"}]},{"given":"Xianfeng","family":"Gu","sequence":"additional","affiliation":[{"name":"Stony Brook University,Department of Computer Science,Stony Brook,NY,USA"}]},{"given":"Xiaoyin","family":"Xu","sequence":"additional","affiliation":[{"name":"Brigham and Women’s Hospital, Harvard Medical School,Department of Radiology,Boston,MA,USA"}]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang University,Collaborative Innovation Center of Artificial Intelligence, College of Computer Science and Technology,Hangzhou,Zhejiang,China"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Generative adversarial nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/30.125072"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-0799-4"},{"key":"ref4","first-page":"21","article-title":"A theoretical framework for back-propagation","volume-title":"Proceedings of the 1988 Connectionist Models Summer School","volume":"1","author":"LeCun"},{"key":"ref5","article-title":"Variable rate image compression with recurrent neural networks","author":"Toderici","year":"2015","journal-title":"arXiv preprint arXiv:1511.06085"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.577"},{"key":"ref7","article-title":"Lossy image compression with compressive autoencoders","author":"Theis","year":"2017","journal-title":"arXiv preprint arXiv:1703.00395"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2019.115774"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683541"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00031"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/PCS.2018.8456298"},{"key":"ref12","article-title":"High-fidelity generative image compression","volume":"33","author":"Mentzer","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000036836.66311.97"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1137\/080730238"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2542073"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.290"},{"key":"ref17","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"International Conference on Machine Learning","author":"Arjovsky"},{"key":"ref18","article-title":"Improved training of Wasserstein GANs","volume":"30","author":"Gulrajani","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref19","article-title":"Spectral normalization for generative adversarial networks","author":"Miyato","year":"2018","journal-title":"arXiv preprint arXiv:1802.05957"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025983"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2006.11.011"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2408346"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2008.10.008"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177703591"},{"key":"ref25","article-title":"Sinkhorn distances: Lightspeed computation of optimal transport","volume":"26","author":"Cuturi","year":"2013","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.crma.2004.12.018"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1051\/m2an\/2015055"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2011.02032.x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/fld.264"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2013.12.015"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00622"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1090\/gsm\/058"},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-71050-9","volume-title":"Optimal transport: old and new","volume":"338","author":"Villani","year":"2009"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1561\/2200000073"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.3160440402"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00559"}],"event":{"name":"2022 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2022,10,16]]},"location":"Bordeaux, France","end":{"date-parts":[[2022,10,19]]}},"container-title":["2022 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9897158\/9897159\/09897380.pdf?arnumber=9897380","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T16:09:04Z","timestamp":1705939744000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9897380\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,16]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/icip46576.2022.9897380","relation":{},"subject":[],"published":{"date-parts":[[2022,10,16]]}}}