感知无损视频重编码的云转码

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI:10.1109/ChinaSIP.2014.6889252

Chieh-Kai Kao, Tsung-Yau Huang, Homer H. Chen, Ja-Ling Wu

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引用次数: 2

摘要

在本文中，我们提出了一种基于可察觉失真(JND)模型的云转码感知无损视频重编码方法。通过自适应步长和动态舍入偏移调整来最小化比特率。在相同的编码条件下，与H.264/AVC JM参考编码器相比，所提出的方法平均实现了9.7%的总比特率降低。通过主观测试进一步验证了所得到的云转码的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Perceptully lossless video re-encoding for cloud transcoding

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.

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2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)

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