An Efficient Intra-Frame Prediction Algorithm Based on Autocorrelation for H.264/AVC

JIA Ke-bin; XIE Jing; FANG Sheng

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An Efficient Intra-Frame Prediction Algorithm Based on Autocorrelation for H.264/AVC

更新时间：2025-07-16

- An Efficient Intra-Frame Prediction Algorithm Based on Autocorrelation for H.264/AVC
- Acta Electronica Sinica Vol. 34, Issue 1, Pages: 152-154(2006)
- 作者机构：
  
  北京工业大学电子信息与控制工程学院,北京,100022
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2006
- 稿件说明：
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JIA Ke-bin, XIE Jing, FANG Sheng. An Efficient Intra-Frame Prediction Algorithm Based on Autocorrelation for H.264/AVC[J]. Acta Electronica Sinica, 2006, 34(1): 152-154.
DOI：

JIA Ke-bin, XIE Jing, FANG Sheng. An Efficient Intra-Frame Prediction Algorithm Based on Autocorrelation for H.264/AVC[J]. Acta Electronica Sinica, 2006, 34(1): 152-154. DOI：

摘要

H.264/AVC是最新的视频压缩标准

具有极高的压缩率

但由于编码时间较长

无法达到实时应用的要求.本文提出了一种新的基于自相关法的高效帧内预测算法.该算法在进行帧内预测之前先对宏块预判

从两种预测模式中选择一种

从而减少了算法的复杂度.实验结果表明

本文提出的算法在码率只有少许增加的情况下

速度平均提高了26.9%

SNR值基本维持不变.

Abstract

H.264/AVC is the newest video coding standard with high compression efficiency.Because it will take a long time to code

it can not achieve the real-time application.An efficient algorithm based on autocorrelation is proposed in this paper.This algorithm will predict every macroblock before coding

then selecting one of the two prediction modes.Therefore

coding time can be reduced dramatically.Experimental results show that the compression time of proposed algorithm is 26.9% less than that of H.264/AVC

only increases a little bit

and the SNR is invariable.

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Related Institution

(College of Electronic Science and Engineering, Jilin University,,,)

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