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A Real-Time Video Watermarking Algorithm for Authentication of Small-Business Wireless Surveillance Networks

机译:用于验证小型企业无线监控网络的实时视频水印算法

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In some business applications, all kinds of cameras sensors are employed in a distributed way to capture videos for different tasks such as surveillance. Once some illegal actions happen, then somebody or some organization wants to forge or replace some surveillance video clips to destroy evidences or obtain illegal profits. How to authenticate the genuineness and integrity of the source video or trace the source of a video information leak becomes a growing requirement in these small businesses. Fortunately, video watermark just provides an effective technology to resolve this issue. This paper proposes a real-time video watermarking scheme for MPEG, where firstly exploits fast scenes segmentation to original video sequence and adaptively selects appropriate scenes to be embedded. Furthermore, visual model is utilized to modulate watermark strength. Watermarks are embedded by adjusting the number ofbit1in the bitstreams through changing level of run-level pairs. Experiment results show little loss of video quality and also exhibit excellent robustness against many attacks. As watermark is directly detected in bitstreams domain, real-time detection becomes a reality. In addition, the embedding strategy guarantees that the bit rate is not increased and the experiments also validate it.
机译:在某些业务应用中,各种摄像机传感器都以分布式方式使用,以捕获用于不同任务的视频,如监视。一旦一些非法行动发生,那么某人或某些组织就想要伪造或替换一些监视视频剪辑以摧毁证据或获得非法利润。如何验证源视频的真实性和完整性或跟踪视频信息泄漏的来源将成为这些小企业的不断增长的要求。幸运的是,视频水印只提供了解决此问题的有效技术。本文提出了用于MPEG的实时视频水印方案,首先利用快速场景分段对原始视频序列,并自适应地选择要嵌入的适当场景。此外,可视模型用于调节水印强度。通过更改运行级别对的级别来调整比特流的数量来嵌入水印。实验结果表明视频质量的损失很小,并且对许多攻击表现出优异的鲁棒性。由于在比特流域中直接检测到水印,实时检测成为现实。此外,嵌入策略保证了比特率没有增加,实验也验证。

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