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Transcoding resilient video watermarking scheme based on spatio-temporal HVS and DCT

机译:基于时空HVS和DCT的转码弹性视频水印方案

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摘要

Video transcoding is a legitimate operation widely used to modify video format in order to access the video content in the end-user's devices, which may have some limitations in the spatial and temporal resolutions, bit-rate and video coding standards. In many previous watermarking algorithms the embedded watermark is not able to survive video transcoding, because this operation is a combination of some aggressive attacks, especially when lower bit-rate coding is required in the target device. As a consequence of the transcoding operation, the embedded watermark may be lost. This paper proposes a robust video watermarking scheme against video transcoding performed on baseband domain. In order to obtain the watermark robustness against video transcoding, four criteria based on Human Visual System (HVS) are employed to embed a sufficiently robust watermark while preserving its imperceptibility. The quantization index modulation (QIM) algorithm is used to embed and detect the watermark in 2D-Discrete Cosine Transform (2D-DCT) domain. The watermark imperceptibility is evaluated by conventional peak signal to noise ratio (PSNR) and structural similarity index (SSIM), obtaining sufficiently good visual quality. Computer simulation results show the watermark robustness against video transcoding as well as common signal processing operations and intentional attacks for video sequences.
机译:视频转码是一种合法的操作,广泛用于修改视频格式,以访问最终用户设备中的视频内容,这可能在空间和时间分辨率,比特率和视频编码标准上有一些限制。在许多以前的水印算法中,嵌入式水印无法在视频转码中幸存,因为此操作是一些攻击性攻击的组合,尤其是在目标设备中需要较低比特率编码时。作为代码转换操作的结果,嵌入的水印可能会丢失。本文针对在基带域上进行的视频转码提出了一种鲁棒的视频水印方案。为了获得针对视频代码转换的水印鲁棒性,基于人类视觉系统(HVS)的四个标准被用来嵌入足够鲁棒的水印,同时保留其不可感知性。量化索引调制(QIM)算法用于在2D离散余弦变换(2D-DCT)域中嵌入和检测水印。通过常规的峰值信噪比(PSNR)和结构相似性指数(SSIM)评估水印的不可感知性,从而获得足够好的视觉质量。计算机仿真结果显示了水印对视频转码的鲁棒性,以及常见的信号处理操作和对视频序列的有意攻击。

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