Joint Data Partition and Rate-Distortion Optimized Mode Selection for H.264 Error-Resilient Coding

2006 IEEE Workshop on Multimedia Signal Processing Pub Date : 2006-10-01 DOI:10.1109/MMSP.2006.285307

Yuan Zhang, Wen Gao, Debin Zhao

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引用次数: 7

Abstract

Data partitioning (DP) is an efficient error-resilient video coding tool. Its contribution to performance improvement in the error-prone environment arises from the superior error concealment mechanisms that are available with the help of protected data partitions. Since error-concealment in terms of DP is closely related to coding mode, it is desirable to have an optimized coding mode selection scheme. However, the existing coding mode selection techniques usually assume that the same error-concealment mechanism is used for a block when it is lost, and the associated distortion also remains the same. Obviously, this assumption is not true when DP involves. In this paper, a generalized end-to-end distortion model is proposed for the rate-distortion optimized coding mode selection, which fully utilizes the superior error-concealment mechanism in terms of DP. The proposed distortion model is also advantageous in the suppression of approximation errors caused by pixel average operations such as sub-pixel interpolation and deblocking filter. Therefore, it can lead to a low-complexity solution for real-time applications such as live streaming

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H.264抗错编码的联合数据分割和率失真优化模式选择

数据分区(DP)是一种高效的抗错误性视频编码工具。它对易出错环境中性能改进的贡献来自于在受保护的数据分区的帮助下提供的高级错误隐藏机制。由于DP中的错误隐藏与编码模式密切相关，因此需要有一个优化的编码模式选择方案。然而，现有的编码模式选择技术通常假设丢失的数据块使用相同的错误隐藏机制，并且相关的失真也保持不变。显然，当DP涉及时，这个假设就不成立了。本文针对率失真优化编码模式选择，提出了一种广义端到端失真模型，该模型充分利用了DP方面优越的错误隐藏机制。所提出的失真模型也有利于抑制由亚像素插值和去块滤波等像素平均操作引起的近似误差。因此，它可以为实时应用程序(如实时流)提供低复杂性的解决方案

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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2006 IEEE Workshop on Multimedia Signal Processing

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