Using simple image and video editing software it is relatively easy to pirate the digital contents at the cost of huge revenue loss to the content owner. Entertainment is the key industry that is overwhelmed by huge financial loss due to digital piracy. WhatsApp, Facebook, Instagram, Pinterest and Twitter are some of the massive social media platforms that are used by millions of users. Many of the users share digital content without giving credit to the owner. Digital watermarking is an efficient technique to protect the digital rights and legal compensation of content owners. Due to the poor selection of watermarking locations, most of the state-of-art methods were fall short to preserve the relationships among the host data. Hence such methods were not efficient to provide safeguards against digital piracy. Therefore, this paper proposes a digital video watermarking technique that analyzes, extracts and processes the useful patterns or features of data based on the symmetry of the circle using 2D-Lifting Wavelet Transform (2D-LWT) and Speeded-Up Robust Features (SURF). SURF method is used to obtain five invariant feature points on an approximation part of 2D-LWT utilizing the luminance component of each video frame. The invariant points serve as centers of the circles used to find the embed locations. The maximum intensity value point in all the points on the circumference of the 1/8 part of the circle is then calculated to serve as an embedding location. Three other points in different quadrants are simply obtained using the concept of symmetry of the circle. After applying temporal desynchronization, compression and insertion of noise attacks the video is assessed through subjective and objective evaluation metrics. The results reveal a high degree of correlation (close to one) and good visual transparency which proves that the proposed scheme is superior for practical applications.

使用简单的图像和视频编辑软件，以内容所有者的巨大收入损失为代价，相对容易地盗版数字内容。由于数字盗版，巨大的财务损失使娱乐业成为不堪重负的关键行业。WhatsApp，Facebook，Instagram，Pinterest和Twitter是数百万用户使用的一些大型社交媒体平台。许多用户共享数字内容而没有对所有者表示信任。数字水印是保护内容所有者的数字权利和法律补偿的有效技术。由于对水印位置的选择不当，大多数现有技术方法都无法保持宿主数据之间的关系。因此，这种方法不足以提供针对数字盗版的保护措施。所以，本文提出了一种数字视频水印技术，该技术使用2D提升小波变换（2D-LWT）和加速鲁棒特征（SURF）基于圆的对称性来分析，提取和处理有用的数据模式或特征。SURF方法用于利用每个视频帧的亮度分量在2D-LWT的近似部分上获得五个不变特征点。不变点用作用于找到嵌入位置的圆的中心。然后计算出圆的1/8部分的圆周上所有点中的最大强度值点，以作为嵌入位置。使用圆的对称性概念，可以简单地获得不同象限中的其他三个点。在应用时间上的不同步之后，通过主观和客观评估指标评估视频攻击的压缩和插入。结果显示出高度的相关性（接近一个）和良好的视觉透明性，证明了所提出的方案对于实际应用是优越的。