Technology of Information Security
|
2813-2817

Compression domain digital video watermark embedding and extraction based on space-time features and random key

Qiu Yicheng1
Xue Feng1
Tang Jinglei2
1. College of Information & Business, Zhongyuan Institute of Technology, Zhengzhou 451191, China
2. School of Information Engineering, Northwest A & F University, Yangling Shaanxi 712100, China

Abstract

Aiming at the problems that the existing watermark embedding and extraction algorithms are sensitive to the filtering, compression and noise conditions, this paper proposed a robust digital-domain video watermark embedding and extraction method based on space-time features. The proposed framework consisted of a public key and a private key to prevent self-conspiracy attacks. The algorithm performed spatio-temporal analysis on the video and extracted the public key from the spatiotemporal feature of the compressed video, which was inherently robust. First, it used a random key to select a candidate block from a pre-selected block set to ensure the security of the watermark frame. Then it selected the 4×4 sub-block suitable for embedding watermark based on the spatio-temporal features of compressed video. Finally, it embedded the watermark bits using non-zero quantized coefficients. The watermarking framework allowed a limited increase in the video bit rate and reduced the computational overhead. The experimental results show that compared with the contrast method, the proposed method has strong robustness and safety.

Foundation Support

国家自然科学基金面上项目(61472314)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0256
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: Technology of Information Security
Pages: 2813-2817
Serial Number: 1001-3695(2019)09-055-2813-05

Publish History

[2019-09-05] Printed Article

Cite This Article

邱一城, 薛峰, 唐晶磊. 时空特征分析结合随机密钥的压缩域数字视频水印嵌入和提取方法 [J]. 计算机应用研究, 2019, 36 (9): 2813-2817. (Qiu Yicheng, Xue Feng, Tang Jinglei. Compression domain digital video watermark embedding and extraction based on space-time features and random key [J]. Application Research of Computers, 2019, 36 (9): 2813-2817. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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