Video Saliency Detection for Visual Cryptography-Based Watermarking

IF 1.8 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Cryptography Pub Date : 2020-01-01 DOI:10.4018/978-1-4666-8723-3.CH006
Adrita Barari, S. Dhavale
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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.
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基于视觉密码的视频显著性水印检测
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。
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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
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