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Uncompressed video quality metric based on watermarking technique

机译:基于水印技术的未压缩视频质量指标

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This paper presents a no-reference video quality metric that blindly estimates the quality of a video. The proposed system is based on video watermarking using 8×8 blocks DCT coefficients of YCBCR domain, and for watermark generation; the Geffe generator has been used to generate binary stream sequence watermark in embedding and extracting processor. Data hiding is achieved by simple “even-odd” signaling of the DCT coefficients. The comparison process between the extracted watermark and the generated watermark from Geffe generator was calculated to conclude the video quality assessment by measuring the watermark degradation. An identical watermark within each frame has been used in this system. With these mechanisms, the proposed method is robust against the attacks of frame dropping, averaging, swapping, and statistical analysis. The results indicate that the proposed video quality metric outperforms standard Peak Signal to Noise Ratio (PSNR) and structural similarity and Image Quality (SSIM) metric in estimating the perceived quality of a video.
机译:本文提出了一种无参考视频质量度量标准,该度量标准盲目地估计了视频质量。该系统基于视频水印,使用YCBCR域的8×8块DCT系数,并用于水印生成。 Geffe生成器已被用于在嵌入和提取处理器中生成二进制流序列水印。通过DCT系数的简单“奇数”信令可以实现数据隐藏。计算了提取的水印与从Geffe生成器生成的水印之间的比较过程,从而通过测量水印降级来结束视频质量评估。该系统在每个帧中使用了相同的水印。利用这些机制,所提出的方法对于帧丢失,平均,交换和统计分析的攻击具有鲁棒性。结果表明,在估计视频的感知质量时,拟议的视频质量度量优于标准峰值信噪比(PSNR)和结构相似度和图像质量(SSIM)度量。

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