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Efficient Motion Estimation and Mode Decision Algorithms for Advanced Video Coding.

机译:用于高级视频编码的高效运动估计和模式决策算法。

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摘要

H.264/AVC video compression standard achieved significant improvements in coding efficiency, but the computational complexity of the H.264/AVC encoder is drastically high. The main complexity of encoder comes from variable block size motion estimation (ME) and rate-distortion optimized (RDO) mode decision methods.;This dissertation proposes three different methods to reduce computation of motion estimation. Firstly, the computation of each distortion measure is reduced by proposing a novel two step edge based partial distortion search (TS-EPDS) algorithm. In this algorithm, the entire macroblock is divided into different sub-blocks and the calculation order of partial distortion is determined based on the edge strength of the sub-blocks. Secondly, we have developed an early termination algorithm that features an adaptive threshold based on the statistical characteristics of rate-distortion (RD) cost regarding current block and previously processed blocks and modes. Thirdly, this dissertation presents a novel adaptive search area selection method by utilizing the information of the previously computed motion vector differences (MVDs).;In H.264/AVC intra coding, DC mode is used to predict regions with no unified direction and the predicted pixel values are same and thus smooth varying regions are not well de-correlated. This dissertation proposes an improved DC prediction (IDCP) mode based on the distance between the predicted and reference pixels. On the other hand, using the nine prediction modes in intra 4x4 and 8x8 block units needs a lot of overhead bits. In order to reduce the number of overhead bits, an intra mode bit rate reduction method is suggested. This dissertation also proposes an enhanced algorithm to estimate the most probable mode (MPM) of each block. The MPM is derived from the prediction mode direction of neighboring blocks which have different weights according to their positions. This dissertation also suggests a fast enhanced cost function for mode decision of intra encoder. The enhanced cost function uses sum of absolute Hadamard-transformed differences (SATD) and mean absolute deviation of the residual block to estimate distortion part of the cost function. A threshold based large coefficients count is also used for estimating the bit-rate part.
机译:H.264 / AVC视频压缩标准在编码效率上取得了显着提高,但是H.264 / AVC编码器的计算复杂度却很高。编码器的主要复杂性来自可变块大小运动估计(ME)和速率失真优化(RDO)模式决策方法。本文提出了三种减少运动估计计算的方法。首先,通过提出一种新颖的基于两步边缘的部分失真搜索(TS-EPDS)算法来减少每个失真度量的计算。在该算法中,将整个宏块划分为不同的子块,并根据子块的边缘强度确定部分失真的计算顺序。其次,我们已经开发了一种提前终止算法,该算法具有自适应阈值,该阈值基于有关当前块以及先前处理过的块和模式的速率失真(RD)成本的统计特性而确定。第三,本文利用先前计算出的运动矢量差(MVDs)的信息,提出了一种新颖的自适应搜索区域选择方法。在H.264 / AVC帧内编码中,DC模式用于预测没有统一方向的区域,预测的像素值相同,因此平滑变化的区域未很好地解相关。本文基于预测像素与参考像素之间的距离,提出了一种改进的DC预测模式。另一方面,在帧内4x4和8x8块单元中使用九种预测模式需要大量开销比特。为了减少开销比特的数量,提出了帧内模式比特率降低方法。本文还提出了一种改进的算法来估计每个块的最可能模式(MPM)。 MPM是从相邻块的预测模式方向得出的,这些块根据其位置具有不同的权重。本文还提出了一种快速增强的代价函数,用于帧内编码器的模式决策。增强的成本函数使用绝对Hadamard变换差(SATD)的总和和残差块的平均绝对偏差来估计成本函数的失真部分。基于阈值的大系数计数也用于估计比特率部分。

著录项

  • 作者

    Sarwer, Mohammed Golam.;

  • 作者单位

    University of Windsor (Canada).;

  • 授予单位 University of Windsor (Canada).;
  • 学科 Electrical engineering.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 206 p.
  • 总页数 206
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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