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NON-CAUSAL INTERPOLATIVE PREDICTION FOR B PICTURE ENCODING

机译:B图片编码的非因果插值预测

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摘要

This paper describes a non-causal interpolative prediction method for B-picture encoding. Interpolative prediction uses correlations between neighboring pixels, including non-causal pixels, for high prediction performance, in contrast to the conventional prediction, using only the causal pixels. For the interpolative prediction, the optimal quantizing scheme has been investigated for preventing coding error power from expanding in the decoding process. In this paper, we extend the optimal quantization sceme to inter-frame prediction in video coding. Unlike H.264 scheme, our method uses non-causal frames adjacent to the prediction frame.
机译:本文介绍了一种用于B图片编码的非因果插值预测方法。与仅使用因果像素的常规预测相比,插值预测使用相邻像素之间(包括非因果像素)之间的相关性来获得较高的预测性能。对于内插预测,已经研究了最佳量化方案,以防止编码误差功率在解码过程中扩展。在本文中,我们将最佳量化方案扩展到视频编码中的帧间预测。与H.264方案不同,我们的方法使用与预测帧相邻的非因果帧。

著录项

  • 来源
    《電子情報通信学会技術研究報告》 |2009年第373期|p.421-424|共4页
  • 作者单位

    Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Department of Information Processing, 226-8502 4259 G2-911 Nagatsuta Midoriku Yokohama, Japan;

    Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Department of Information Processing, 226-8502 4259 G2-911 Nagatsuta Midoriku Yokohama, Japan;

    Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Department of Information Processing, 226-8502 4259 G2-911 Nagatsuta Midoriku Yokohama, Japan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    non-causal interpolative; B-picture; image processing; optimal quantization scheme;

    机译:非因果插值;B图片;图像处理;最佳量化方案;
  • 入库时间 2022-08-18 00:34:54

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