Audio and Video Matching Zero‐Watermarking Algorithm Based on NSCT

Abstract

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.

Anti-Recompression Video Watermarking Algorithm Based on H.264/AVC

“…Figure 9 shows the results of the gravimetric comparison experiment with the literature [24]. In the literature [24], the initial QP in the gravimetric experiment is 20, and the value range of QP in the second compression is [16,23]. It can be seen from Figure 9 that the BER value of this algorithm is lower than that of the literature [24] and has better robustness.…”

“…In the anti-recompression experiment, the experimental video is recompressed with equal quantization values (the original quantization parameter is 20). The paper uses the normalized correlation coefficient NC (normalized correlation) and the false bit rate BER as evaluation metrics, and when the NC value is greater than 0.8, the correlation between the two watermarked images is higher and the algorithm is more robust [23]. The NC is calculated as follows:…”

Video data security: analysis, relevance and open challenges

“…In addition, explosion in the development of high internet bandwidth easily transfer multimedia documents from one system to other remote system within reasonable time irrespective of the geographical location. However, these benefits have brought a major alarming issues and number of challenges that requires being determined listed below [110][111][112][113][114]. The research on video watermarking has addressed some challenges related to the protection of intellectual property rights in digital multimedia.…”