{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T13:07:25Z","timestamp":1776690445923,"version":"3.51.2"},"reference-count":22,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T00:00:00Z","timestamp":1600732800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773206"],"award-info":[{"award-number":["61773206"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Security and Communication Networks"],"published-print":{"date-parts":[[2020,9,22]]},"abstract":"<jats:p>With the rapid development of Internet and cloud storage, data security sharing and copyright protection are becoming more and more important. In this paper, we introduce a robust image watermarking algorithm for copyright protection based on variational autoencoder networks. The proposed image watermarking embedding and extracting network consists of three parts: encoder subnetwork, decoder subnetwork, and detector subnetwork. In the training process, the encoder and decoder subnetworks learn a robust image representation model and further implement the embedding of 1-bit watermark image to the cover image. Meanwhile, the detector subnetwork learns to extract the 1-bit watermark image from the embedding image. Experimental results demonstrate that the watermarked images generated by the proposed algorithm have better visual effects and are more robust against geometric and noise attacks than traditional approaches in the transform domain.<\/jats:p>","DOI":"10.1155\/2020\/8869096","type":"journal-article","created":{"date-parts":[[2020,9,23]],"date-time":"2020-09-23T00:25:36Z","timestamp":1600820736000},"page":"1-9","source":"Crossref","is-referenced-by-count":14,"title":["A Robust Image Watermarking Approach Using Cycle Variational Autoencoder"],"prefix":"10.1155","volume":"2020","author":[{"given":"Qiang","family":"Wei","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hu","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Mysleepart Technology Co., Ltd., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2925-5624","authenticated-orcid":true,"given":"Gongxuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-019-1561-7"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/2085638"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/access.2018.2866641"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/tcc.2019.2898657"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2019.2910242"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.5674"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.08.057"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2019.2959258"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/5634561"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.5681"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2020.04.018"},{"key":"12","volume":"151","year":"2020","journal-title":"Expert Systems with Applications"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2019.2909137"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/30.883387"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.5815\/ijmecs.2012.03.07"},{"issue":"3","key":"16","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1109\/TSP.2011.2179650","volume":"60","year":"2012","journal-title":"IEEE Transactions on Signal Processing"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1109\/lsp.2017.2745572"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.01.067"},{"key":"28","first-page":"2672","year":"2014","journal-title":"Computer Science"},{"key":"33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.07.044"},{"key":"39","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2012.08.015"},{"key":"40","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2003.819861"}],"container-title":["Security and Communication Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2020\/8869096.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2020\/8869096.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/scn\/2020\/8869096.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,23]],"date-time":"2020-09-23T00:25:39Z","timestamp":1600820739000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/scn\/2020\/8869096\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,22]]},"references-count":22,"alternative-id":["8869096","8869096"],"URL":"https:\/\/doi.org\/10.1155\/2020\/8869096","relation":{},"ISSN":["1939-0114","1939-0122"],"issn-type":[{"value":"1939-0114","type":"print"},{"value":"1939-0122","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,22]]}}}