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On the efficiency of image completion methods for intra prediction in video coding with large block structures

机译:大块结构视频编码中帧内预测的图像完成方法的效率

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摘要

Intra prediction is a fundamental tool in video coding with hybrid block-based architecture. Recent investigations have shown that one of the most beneficial elements for a higher compression performance in high-resolution videos is the incorporation of larger block structures. Thus in this work, we investigate the performance of novel intra prediction modes based on different image completion techniques in a new video coding scheme with large block structures. Image completion methods exploit the fact that high frequency image regions yield high coding costs when using classical H.264/AVC prediction modes. This problem is tackled by investigating the incorporation of several intra predictors using the concept of Laplace partial differential equation (PDE), Least Square (LS) based linear prediction and the Auto Regressive model. A major aspect of this article is the evaluation of the coding performance in a qualitative (i.e. coding efficiency) manner. Experimental results show significant improvements in compression (up to 7.41 %) by integrating the LS-based linear intra prediction.
机译:帧内预测是基于混合块架构的视频编码中的基本工具。最近的研究表明,在高分辨率视频中实现更高压缩性能的最有益元素之一是合并了较大的块结构。因此,在这项工作中,我们在具有大块结构的新视频编码方案中研究了基于不同图像完成技术的新颖帧内预测模式的性能。图像完成方法利用了这样的事实,即当使用经典的H.264 / AVC预测模式时,高频图像区域会产生较高的编码成本。通过研究使用拉普拉斯偏微分方程(PDE),基于最小二乘(LS)的线性预测和自回归模型的概念研究几种帧内预测器的合并来解决此问题。本文的主要方面是以定性(即编码效率)的方式评估编码性能。实验结果表明,通过集成基于LS的线性帧内预测,​​可以显着提高压缩率(最高7.41%)。

著录项

  • 来源
  • 会议地点 Burlingame CA(US)
  • 作者单位

    Fraunhofer Institute for Telecommunications - Heinrich-Hertz-Institute, Image Processing Department, 37 Einsteinufer, Berlin, Germany, D-10587;

    Fraunhofer Institute for Telecommunications - Heinrich-Hertz-Institute, Image Processing Department, 37 Einsteinufer, Berlin, Germany, D-10587;

    Fraunhofer Institute for Telecommunications - Heinrich-Hertz-Institute, Image Processing Department, 37 Einsteinufer, Berlin, Germany, D-10587,Technical University Berlin, 17 Einsteinufer, Berlin, Germany, D-10587;

    Fraunhofer Institute for Telecommunications - Heinrich-Hertz-Institute, Image Processing Department, 37 Einsteinufer, Berlin, Germany, D-10587;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Intra prediction; image completion; Laplace PDE; linear prediction; Auto Regressive model;

    机译:帧内预测;图像完成拉普拉斯PDE;线性预测自回归模型;

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