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Perceptully lossless video re-encoding for cloud transcoding

机译:用于云转码的可感知的无损视频重新编码

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In this paper, we present a perceptually lossless video re-encoding approach to cloud transcoding based on a just noticeable distortion (JND) model. The bitrate is minimized by adaptive step size and dynamic rounding offset adjustment. On the average, the proposed approach achieves 9.7% overall bitrate reduction compared to the H.264/AVC JM reference encoder under the same coding condition. The performance of the resulting cloud transcoding is further verified by a subjective test.
机译:在本文中,我们提出了一种基于恰到好处的失真(JND)模型的可感知的无损视频重编码方法来进行云转码。通过自适应步长和动态舍入偏移调整,可将比特率降至最低。平均而言,与相同编码条件下的H.264 / AVC JM参考编码器相比,所提出的方法可实现9.7%的总比特率降低。主观测试进一步验证了生成的云转码的性能。

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