保护视频所有权防止数字盗版:一种有效的数字水印方案

Himanshu Agarwal, Farooq Husain
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引用次数: 0

摘要

知识产权被他人侵犯是当今娱乐行业经常面临的一个普遍问题。在Instagram、WhatsApp和twitter等社交媒体平台上分享信息而不给予所有者信用,会给所有者带来巨大的经济损失,因此需要立即引起注意。数字水印技术是一种很有前途的保护版权的技术。大多数最先进的技术都不能提供足够的弹性来抵御大多数视频特定攻击和其他常用攻击。为此,本文首先将每个视频帧转换为YCbCr颜色分量,然后选取归一化亮度分量中25个最强的加速鲁棒特征(SURF)点作为水印的嵌入和提取点,提出了一种高度透明和鲁棒性的视频水印方案,以保护所有者的权益。在对水印视频进行了各种几何、简单的信号处理和视频特定攻击后,使用流行的度量对该方案进行了细致的分析,结果表明,该方案具有较高的相关值,对这些攻击具有较好的实际应用价值。该方案还提出了一种新的主观分析的三级减值量表,结果稳定,可以得出正确的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protecting Ownership Rights of Videos Against Digital Piracy: An Efficient Digital Watermarking Scheme
Violation of one’s intellectual ownership rights by the others is a common problem which entertainment industry frequently faces now-a-days. Sharing of information over social media platforms such as Instagram, WhatsApp and twitter without giving credit the owner causes huge financial losses to the owner and hence needs an immediate attention. Digital watermarking is a promising technique to protect owners’ right against digital piracy. Most of the state-of-the-art techniques does not provides adequate level of resilience against majority of video specific attacks and other commonly applied attacks. Therefore, this paper proposes a highly transparent and robust video watermarking solution to protect the owners rights by first convert each video frame into YCbCr color components and then select twenty five strongest speeded-up robust features (SURF) points of the normalized luminance component as points for both watermark embedding and extraction. After applying variety of geometric, simple signal processing and video specific attacks on the watermarked video meticulous analysis is performed using popular metrics which reveals that the proposed scheme possesses high correlation value which makes it superior for practical applications against these attacks. The scheme also proposes a novel three-level impairment scale for subjective analysis which gives stable results to derive correct conclusions.
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