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Real-time video watermarking on programmable graphics hardware

机译:可编程图形硬件上的实时视频水印

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In this paper, we propose a real-time video watermarking system on programmable graphics hardware. Real-time video watermarking is important to the use of digital video in legal proceedings, security surveillance, new reportage and commercial video transactions. The watermarking scheme implemented here is based on Wong's scheme for image watermarking, and is designed to detect and localize any change in the pixels of any frame of the incoming video stream. We implement this scheme for real-time operation on programmable graphics hardware. The graphics processing units (GPUs) found on many modern commodity-level graphics cards have the ability to execute application-defined sequences of instructions on not only geometric primitives, defined by vertices, but also on image or texture fragments mapped to rasterized geometric primitives. These fragment programs, also known as fragment or pixel shaders, execute in hardware and in parallel on the GPU for each fragment, or pixel, that is rendered, making the GPU well suited for image and video processing. We illustrate real-time performance, low perceptibility, and good bit-error rates and localization by way of a general testing framework that allows straightforward testing of any video watermarking system implemented on programmable graphics hardware
机译:在本文中,我们提出了一种在可编程图形硬件上的实时视频水印系统。实时视频水印对于在诉讼,安全监控,新报道和商业视频交易中使用数字视频非常重要。此处实现的水印方案基于Wong的图像水印方案,旨在检测和定位传入视频流的任何帧的像素中的任何变化。我们在可编程图形硬件上实现此方案以进行实时操作。许多现代商品级图形卡上的图形处理单元(GPU)不仅能够在由顶点定义的几何图元上,而且还能在映射到光栅化的几何图元的图像或纹理片段上执行应用程序定义的指令序列。这些片段程序(也称为片段或像素着色器)在硬件上针对渲染的每个片段或像素在GPU上并行执行,从而使GPU非常适合图像和视频处理。我们通过一个通用的测试框架来说明实时性能,低感知性,良好的误码率和良好的本地化,该框架允许对在可编程图形硬件上实现的任何视频水印系统进行直接测试。

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