Huiyuan Zhao

Dr. Huiyuan Zhao

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 June 2022 in Sensors
Verified
Journal Article
Open access
PDF file
DFDi Fan
Di Fan
XZXiao Zhang
Xiao Zhang
WKWenshuo Kang
Wenshuo Kang
HZHuiyuan Zhao
Huiyuan Zhao
YLYingjun Lv
Yingjun Lv
Video watermarking is an important means of video and multimedia copyright protection, but the current watermarking algorithm is difficult to ensure high robustness under various attacks. In this paper, a video watermarking algorithm based on NSCT, pseudo 3D-DCT and NMF has been proposed. Combined with NSCT, 3D-DCT and NMF, the algorithm embeds the encrypted QR code copyright watermark into the NMF base matrix to improve the anti-attack ability of the watermark under the condition of invisibility. The experimental results show that the algorithm ensures the invisibility of the watermark with a high signal-to-noise ratio of the video, and meanwhile has high ability and robustness against common single and combined attacks, such as filtering, noise, compression, shear, rotation and so on. The issue that the video watermarking algorithm has poor resistance to various attacks, especially the shearing attack, has been solved in this paper; thus, it can be used for digital multimedia video copyright protection.

29 June 2023 in Mathematics
Verified
Journal Article
Open access
PDF file
DFDi Fan
Di Fan
HZHuiyuan Zhao
Huiyuan Zhao
CZChangying Zhang
Changying Zhang
HLHongyun Liu
Hongyun Liu
XWXiaoming Wang
Xiaoming Wang
The problem of information security and copyright protection of video is becoming increasingly prominent. The current video watermarking algorithm does not have strong anti-compression, which has a significant impact on the visual effect of video. To solve this problem, this paper proposes a video watermarking algorithm based on H.264/AVC. The algorithm combines the non-zero quantization coefficient and the energy factor to select the appropriate chroma subblock, and then an optimized modulation is designed to embed the watermark into its DCT quantization coefficients in order to minimize the number of modifications of the subblocks. The invisibility and robustness experiments of the algorithm are conducted in the paper, and the Structural Similarity Indexes are above 0.99, and the False Bit Rates are all below 0.03. The results show that the algorithm has good invisibility, anti-compression performance and obvious advantages compared with other similar methods.

1 January 2022 in Complexity
Verified
Journal Article
Open access
PDF file
DFDi Fan
Di Fan
WSWenxue Sun
Wenxue Sun
HZHuiyuan Zhao
Huiyuan Zhao
WKWenshuo Kang
Wenshuo Kang
CLChangzhi Lv
Changzhi Lv
In the Internet age, information security is threatened anytime and anywhere and the copyright protection of audio and video as well as the need for matching detection is increasingly strong. In view of this need, this paper proposes a zero‐watermarking algorithm for audio and video matching based on NSCT. The algorithm uses NSCT, DCT, SVD, and Schur decomposition to extract video features and audio features and generates zero‐watermark stream through synthesis, which is stored in a third‐party organization for detection and identification. The detection algorithm can obtain zero watermark from the audio and video to be tested and judge and locate tampering by comparing with the zero watermark of the third party. From the experimental results, this algorithm can not only detect whether the audio and video are mismatched due to tampering attacks but also locate the mismatched audio and video segments and protect the copyright.