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首页> 外文期刊>Circuits and Systems for Video Technology, IEEE Transactions on >Error Resilient Coding and Error Concealment in Scalable Video Coding
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Error Resilient Coding and Error Concealment in Scalable Video Coding

机译:可伸缩视频编码中的错误弹性编码和错误隐藏

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摘要

Scalable video coding (SVC), which is the scalable extension of the H.264/AVC standard, was developed by the Joint Video Team (JVT) of ISO/IEC MPEG (Moving Picture Experts Group) and ITU-T VCEG (Video Coding Experts Group). SVC is designed to provide adaptation capability for heterogeneous network structures and different receiving devices with the help of temporal, spatial, and quality scalabilities. It is challenging to achieve graceful quality degradation in an error-prone environment, since channel errors can drastically deteriorate the quality of the video. Error resilient coding and error concealment techniques have been introduced into SVC to reduce the quality degradation impact of transmission errors. Some of the techniques are inherited from or applicable also to H.264/AVC, while some of them take advantage of the SVC coding structure and coding tools. In this paper, the error resilient coding and error concealment tools in SVC are first reviewed. Then, several important tools such as loss-aware rate-distortion optimized macroblock mode decision algorithm and error concealment methods in SVC are discussed and experimental results are provided to show the benefits from them. The results demonstrate that PSNR gains can be achieved for the conventional inter prediction (IPPP) coding structure or the hierarchical bi-predictive (B) picture coding structure with large group of pictures size, for all the tested sequences and under various combinations of packet loss rates, compared with the basic joint scalable video model (JSVM) design applying no error resilient tools at the encoder and only picture copy error concealment method at the decoder.
机译:可扩展视频编码(SVC)是H.264 / AVC标准的可扩展扩展,由ISO / IEC MPEG(运动图像专家组)和ITU-T VCEG(视频编码)的联合视频小组(JVT)开发专家组)。 SVC旨在通过时间,空间和质量可伸缩性为异构网络结构和不同的接收设备提供适应能力。在容易出错的环境中实现适度的质量下降是一项挑战,因为通道错误会严重降低视频质量。防错编码和错误隐藏技术已被引入SVC,以减少传输错误对质量下降的影响。一些技术是从H.264 / AVC继承或适用于H.264 / AVC的,而其中一些则利用了SVC编码结构和编码工具。本文首先回顾了SVC中的错误复原编码和错误隐藏工具。然后,讨论了SVC中损失感知的速率失真优化宏块模式决策算法和错误隐藏方法等重要工具,并提供了实验结果以证明它们的好处。结果表明,对于所有测试序列和各种丢包组合,传统的帧间预测(IPPP)编码结构或具有大组图片尺寸的分层双向预测(B)图片编码结构都可以实现PSNR增益与基本的联合可伸缩视频模型(JSVM)设计相比,在编码器上没有使用抗错误工具,在解码器上仅使用了图片复制错误隐藏方法。

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