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Computational Complexity Management of H.264/AVC Video Coding Standard.

机译：H.264 / AVC视频编码标准的计算复杂性管理。

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摘要

The new H.264/AVC video coding standard achieves significantly improved compression efficiency compared to previous standards by adopting highly advanced and flexible encoding techniques at the expense of increased complexity. However, the high computational complexity of H.264/AVC is a big concern primarily for low-power devices with limited processing capabilities. This thesis presents new techniques to reduce and/or control the computational complexity of an H.264/AVC encoder.;A complexity scalable encoding framework is proposed for controlling the encoder complexity at a macroblock level using a single parameter. The framework uses a special macroblock grouping technique called the "wave-front macroblock scheduling". The computational resources are allocated to the macroblocks within a wave-front. The resource allocation is further developed by adopting the Lagrangian rate-distortion cost prediction into the framework. Results demonstrate significant improvements in the rate-distortion performance of the encoder operating at limited complexity. Finally, the complexity reduction algorithms are installed into the complexity scalable encoding framework. Simulations show that these algorithms equip the complexity scalable encoder with additional complexity control.;These novel algorithms are designed with the target of enabling the H.264/AVC implementations in computationally constrained environments such as the hand-held devices with limited processing capabilities and limited battery life.;A new prediction method is developed to estimate the Lagrangian rate-distortion cost of a macroblock. The prediction method is used in the design of two complexity reduction algorithms for H.264/AVC. The first algorithm uses the predicted rate-distortion costs to identify the SKIP coded macroblocks prior to any INTRA or INTER mode trial. Simulation results show that the algorithm achieves significant complexity savings with negligible loss in rate-distortion performance. Similarly, the second algorithm seeks to further reduce the encoder complexity by using the predicted costs to identify not only SKIP coded but also the INTRA and INTER coded macroblocks at earlier stages. Results indicate greater reductions in the encoder complexity at the expense of slightly larger loss in rate-distortion performance.
机译：与以前的标准相比，新的H.264 / AVC视频编码标准通过采用高度先进且灵活的编码技术，以增加复杂性为代价，大大提高了压缩效率。但是，H.264 / AVC的高计算复杂度主要是对处理能力有限的低功率设备的主要关注。本文提出了减少和/或控制H.264 / AVC编码器的计算复杂度的新技术。提出了一种复杂度可伸缩编码框架，用于使用单个参数在宏块级别控制编码器的复杂度。该框架使用一种特殊的宏块分组技术，称为“波前宏块调度”。计算资源被分配给波前的宏块。通过在框架中采用拉格朗日率失真成本预测来进一步开发资源分配。结果表明，以有限的复杂度运行的编码器的速率失真性能有了显着改善。最后，将复杂度降低算法安装到复杂度可伸缩编码框架中。仿真表明，这些算法为复杂度可扩展编码器提供了额外的复杂度控制。这些新颖的算法旨在在受计算限制的环境（例如处理能力有限且受限的手持设备）中实现H.264 / AVC实现。电池寿命。;开发了一种新的预测方法来估计宏块的拉格朗日速率失真成本。该预测方法用于设计H.264 / AVC的两种降低复杂度的算法。在任何INTRA或INTER模式试验之前，第一种算法使用预测的速率失真成本来识别SKIP编码的宏块。仿真结果表明，该算法实现了显着的复杂度节省，速率失真性能的损失可忽略不计。类似地，第二算法试图通过使用预测成本来不仅识别在早期阶段的SKIP编码而且识别INTRA和INTER编码的宏块，从而进一步降低编码器复杂度。结果表明，以速率失真性能稍有损失为代价，可以更大程度地降低编码器复杂度。

著录项

  • 作者

    Solak, Serdar Burak.;

  • 作者单位

    McGill University (Canada).;

  • 授予单位 McGill University (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.Eng.
  • 年度 2010
  • 页码 97 p.
  • 总页数 97
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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