基于视觉密码的视频显著性水印检测

IF 1.8 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Adrita Barari, S. Dhavale
{"title":"基于视觉密码的视频显著性水印检测","authors":"Adrita Barari, S. Dhavale","doi":"10.4018/978-1-4666-8723-3.CH006","DOIUrl":null,"url":null,"abstract":"The aim of this chapter is to review the application of the technique of Visual cryptography in non-intrusive video watermarking. The power of saliency feature extraction is also highlighted in the context of Visual Cryptography based watermarking systems for videos. All schemes in literature related to Visual cryptography based video watermarking, have been brought together with special attention on the role of saliency feature extraction in each of these schemes. Further a novel approach for VC based video watermarking using motion vectors (MVP Algorithm) as a salient feature is suggested. Experimental results show the robustness of proposed MVP Algorithm against various video processing attacks. Also, compression scale invariance is achieved.","PeriodicalId":36072,"journal":{"name":"Cryptography","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Video Saliency Detection for Visual Cryptography-Based Watermarking\",\"authors\":\"Adrita Barari, S. Dhavale\",\"doi\":\"10.4018/978-1-4666-8723-3.CH006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this chapter is to review the application of the technique of Visual cryptography in non-intrusive video watermarking. The power of saliency feature extraction is also highlighted in the context of Visual Cryptography based watermarking systems for videos. All schemes in literature related to Visual cryptography based video watermarking, have been brought together with special attention on the role of saliency feature extraction in each of these schemes. Further a novel approach for VC based video watermarking using motion vectors (MVP Algorithm) as a salient feature is suggested. Experimental results show the robustness of proposed MVP Algorithm against various video processing attacks. Also, compression scale invariance is achieved.\",\"PeriodicalId\":36072,\"journal\":{\"name\":\"Cryptography\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cryptography\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-4666-8723-3.CH006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cryptography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-4666-8723-3.CH006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

本章的目的是回顾视觉密码技术在非侵入式视频水印中的应用。在基于视觉密码学的视频水印系统中,也强调了显著性特征提取的力量。文献中与基于视觉密码的视频水印相关的所有方案都被汇集在一起,并特别关注每个方案中显著性特征提取的作用。进一步提出了一种以运动矢量(MVP算法)为显著特征的基于VC的视频水印方法。实验结果表明了该算法对各种视频处理攻击的鲁棒性。同时,实现了压缩尺度的不变性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video Saliency Detection for Visual Cryptography-Based Watermarking
The aim of this chapter is to review the application of the technique of Visual cryptography in non-intrusive video watermarking. The power of saliency feature extraction is also highlighted in the context of Visual Cryptography based watermarking systems for videos. All schemes in literature related to Visual cryptography based video watermarking, have been brought together with special attention on the role of saliency feature extraction in each of these schemes. Further a novel approach for VC based video watermarking using motion vectors (MVP Algorithm) as a salient feature is suggested. Experimental results show the robustness of proposed MVP Algorithm against various video processing attacks. Also, compression scale invariance is achieved.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Cryptography
Cryptography Mathematics-Applied Mathematics
CiteScore
3.80
自引率
6.20%
发文量
53
审稿时长
11 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信