低复杂度低延迟分布式视频编码

Gengfeng Qiu, Shaoshuai Gao, G. Tu
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引用次数: 6

摘要

大多数最先进的分布式视频编码方案都是基于斯坦福Wyner-Ziv视频编码架构,该架构利用了LDPC或Turbo码等高效信道码的优势。阻碍其实际应用的缺点是解码复杂性高,特别是延迟,因为它需要迭代地解码信道代码,并且在解码WZ帧时需要多次反馈信息。本文提出了一种新的分布式视频编码方案,该方案不需要迭代解码,每WZ帧只需要一次反馈信息。它采用分组分类编码策略和基于模块化算法的残差计算方法相结合的方法。我们的方案用简单的熵编码代替了复杂的信道编码,大大降低了解码的复杂度和延迟。实验结果表明,该方案在低、中运动视频序列的解码复杂度降低10%~1%的同时,比现有的分布式视频编码方案具有更好的码率失真性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-complexity low-delay distributed video coding
Most state-of-the-art distributed video coding schemes are based on Stanford Wyner-Ziv video coding architecture which takes advantages of efficient channel codes such as LDPC or Turbo codes. The drawbacks that prevent it from practical applications are high decoding complexity and especially latency, since it needs to decode channel codes iteratively and require feedback information many times when decoding a WZ frame. In this paper, we proposed a novel distributed video coding scheme which needs no iterative decoding and only requires feedback information once per WZ frame. It uses a block classification coding strategy combined with a residual computing method based on modular arithmetic. Our scheme replaces complex channel coding with simple entropy coding, which greatly reduce decoding complexity and latency. Experimental results show that the proposed scheme can improve the rate-distortion performance over some state-of-the-art distributed video coding schemes for low and medium motion video sequences, while reducing decoding complexity to 10%~1%.
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