融合数字音频水印算法的音乐多媒体作品版权保护

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS International Journal of Grid and High Performance Computing Pub Date : 2023-03-09 DOI:10.4018/ijghpc.318406
Wanxing Huang
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引用次数: 0

摘要

版权法在媒体领域很重要,因为原创作品的所有者拥有同意、出版、广播甚至翻译或修改其作品的专有权。在多媒体技术广泛使用的背后,可以发现越来越多的数字版权问题。使用数字水印的版权侵权预防方法必须立即得到改进。作为一种备选方案,零水印最近得到了广泛的应用。提出了一种新的基于稀疏表示的持久性数字音频水印算法(SRP-DAWA),以提高零弹性。利用改进的奇异值分解(iSVD)技术,该方法可以从背景音频信号中生成最优的过完备字典。采用正交匹配追踪(OMP)方法,计算碎片化样本数据的稀疏系数,生成相应的稀疏矩阵。
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Copyright Protection of Music Multimedia Works Fused With Digital Audio Watermarking Algorithm
Copyright law is important in the media sector since an original creative work owner has the exclusive right to consent, publish, broadcast, and even translate or modify their work. A growing number of digital copyright issues can be found behind the widespread use of multimedia technologies. Improvements must be made right away to the copyright infringement prevention approach using digital watermarking. Zero-watermarking has lately gained popularity as one of the alternatives being considered. A novel sparse representation persistent-based digital audio watermarking algorithm (SRP-DAWA) has been presented to increase zero resilience. Using the improved singular value decomposition (iSVD) technique, an optimum over-complete dictionary can be generated from the background audio signal in the suggested method. Using the orthogonal matching pursuit (OMP) method, the sparse coefficient of a fragmented sample data is calculated, and the corresponding sparse matrix is generated.
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来源期刊
CiteScore
1.70
自引率
10.00%
发文量
24
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