Article(id=1242137064418915149, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242137051269772083, articleNumber=null, orderNo=10, doi=10.3981/j.issn.1000-7857.2018.17.008, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1531929600000, receivedDateStr=2018-07-19, revisedDate=1533744000000, revisedDateStr=2018-08-09, acceptedDate=null, acceptedDateStr=null, onlineDate=1537233511637, onlineDateStr=2018-09-18, pubDate=1536768000000, pubDateStr=2018-09-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1537233511637, onlineIssueDateStr=2018-09-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078153944, creator=sys-migrate, updateTime=1774078153944, updator=sys-migrate, issue=Issue{id=1242137051269772083, tenantId=1146029695717560320, journalId=1146031591421210625, year='2018', volume='36', issue='17', pageStart='1', pageEnd='112', issueExtLink='null', onlineDate='null', pubDate='1536768000000', pubDateStr='2018-09-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078150809, creator='sys-migrate', updateTime=1774078150809, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=68, endPage=74, ext={EN=ArticleExt(id=1242137069284307820, articleId=1242137064418915149, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Recent advances on blind vision, columnId=1242137061583561604, journalTitle=Science & Technology Review, columnName=Exclusive: Artificial Intelligence, runingTitle=null, highlight=null, articleAbstract=With the rapid development of multimedia technology and the Internet, privacy protection of multimedia data is facing more and more challenges. The widespread application of cloud computing and big data, on the other hand, has further exacerbated people's concerns about privacy security. However, multiparty computation, homomorphic cryptography, functional encryption and other cryptographic techniques have made possible the blind computation of data under ciphertext. In particular, visual blind computing is to detect, identify, search, and deal with data without touching their original contents such as images and videos. As a new direction in the combination of computer vision and cryptography, it has a wide range of applications in video monitor, multimedia data sharing, cloud computing, mobile computing and other fields. This paper reviews the development history of visual blind computing technology, summaries the key technologies for video monitor, face detection, face recognition, face retrieval, machine learning and so on, and looks into the development trend of visual blind computing technology., authors=LI Xiaodong^1,2, JIN Xin^1,2, ZHOU Bin³, ZOU Dongqing⁴, SUN Hongbo¹, LIU Zhenzhong⁵, authorsList=LI Xiaodong, JIN Xin, ZHOU Bin, ZOU Dongqing, SUN Hongbo, LIU Zhenzhong, authorCompany=1. Department of Cyber Security, Beijing Electronics Science and Technology Institute, Beijing 100070, China;
2. CETC Big Data Research Institute Co., Ltd., Guiyang 550018, China;
3. School of Computer Science and Engineering, Beihang University, Beijing 100191, China;
4. Sense Time, Beijing 100084, China;
5. Tantan App., Beijing 100020, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=yTJE71rUJN0s9gcSW89Qvg==, pdfFileSize=3041371, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242137066197300061, articleId=1242137064418915149, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=视觉盲计算技术研究进展, columnId=1242137060631454589, journalTitle=科技导报, columnName=专题：人工智能, runingTitle=null, highlight=null, articleAbstract=云计算和大数据的广泛应用使得多媒体数据的隐私保护面临越来越严峻的挑战，而多方计算、同态密码、函数加密等密码技术为数据在密文下的盲计算奠定了基础。视觉盲计算是在不接触图像、视频等视觉数据原始内容的情况下对其进行检测、识别、检索及更复杂的处理，是计算机视觉与密码学等领域学科交叉的新方向，在视频监控、多媒体数据共享、云计算、移动计算等领域有广泛的应用前景。本文回顾视觉盲计算技术的发展历史，从隐私保护的视频监控、人脸检测、人脸识别、人脸检索、机器学习等方面综述了该领域关键技术的发展情况，展望了视觉盲计算技术的发展趋势。, authors=李晓东^1,2, 金鑫^1,2, 周彬³, 邹冬青⁴, 孙红波¹, 柳振中⁵, authorsList=李晓东, 金鑫, 周彬, 邹冬青, 孙红波, 柳振中, authorCompany=1. 北京电子科技学院网络空间安全系, 北京 100070;
2. 中电科大数据研究院有限公司, 贵阳 550018;
3. 北京航空航天大学计算机学院, 北京 100191;
4. 北京市商汤科技开发有限公司, 北京 100084;
5. 探探科技(北京)有限公司, 北京 100020, correspAuthors=null, authorNote=李晓东,副教授,研究方向为网络空间安全,电子信箱:lxd@besti.edu.cn, correspAuthorsNote=金鑫(通信作者),讲师,研究方向为计算美学、虚拟现实、计算机视觉,电子信箱:jinxin@besti.edu.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=hHhsW7F23ywOJnjRdNkzBw==, pdfFileSize=3041371, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金项目（61772047）)}, authors=null, keywords=[Keyword(id=1242137065689789267, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242137064418915149, language=CN, orderNo=1, keyword=视觉计算), Keyword(id=1242137065777869654, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242137064418915149, language=CN, orderNo=1, keyword=云计算), Keyword(id=1242137065903698776, 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