Video coding system based on fractal and H.264

ZHU Shi-ping; ZHANG Lin

doi:10.3788/OPE.20132103.0774

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Video coding system based on fractal and H.264

更新时间：2020-08-12

- Video coding system based on fractal and H.264
- Optics and Precision Engineering Vol. 21, Issue 3, Pages: 774-781(2013)
- 作者机构：
  
  北京航空航天大学仪器科学与光电工程学院测控与信息技术系北京,100191
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132103.0774
  CLC： TN919.81
- Received：19 June 2012，
  
  Revised：11 September 2012，
  
  Published Online：20 March 2013，
  
  Published：15 March 2013
- 稿件说明：
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祝世平张玲. 基于分形和H.264的视频编码系统[J]. 光学精密工程, 2013,21(3): 774-781

ZHU Shi-ping ZHANG Lin. Video coding system based on fractal and H.264[J]. Editorial Office of Optics and Precision Engineering, 2013,21(3): 774-781
祝世平张玲. 基于分形和H.264的视频编码系统[J]. 光学精密工程, 2013,21(3): 774-781 DOI： 10.3788/OPE.20132103.0774.

ZHU Shi-ping ZHANG Lin. Video coding system based on fractal and H.264[J]. Editorial Office of Optics and Precision Engineering, 2013,21(3): 774-781 DOI： 10.3788/OPE.20132103.0774.

摘要

基于具有快速编解码速度的分形编码技术，提出了新的H.264P帧预测方法，用于减少视频压缩编码时间并降低码流输出。首先，分析了H.264的帧内预测算法、帧间预测算法和P帧预测算法的优缺点，介绍了本文提出的基于分型编码的新型视频压缩编码方法，讨论了该方法的优缺点。然后，结合H.264和分形的优点，用分形预测的方式对H.264中的P帧进行预测。最后，给出了在H.264中用分形预测改进P帧编码所产生的分形系数的编码和残差的编码。实验结果表明：与目前国际视频压缩标准H.264的标准测试模型JM15.1相比，在忽略峰值信噪比的情况下（平均降低0.09 dB），改进的P帧预测方法的码流和压缩时间分别降低为JM15.1的65%和19%，并且能够适应各种运动类型的视频序列。研究显示，改进的P帧预测方法提高了H.264的总体编码性能。

Abstract

On the basis of the fractal encoding technology with a higher speed

a new H.264PP frame prediction method and a corresponding fast coding system were proposed to decrease the video compression coding time and bite rate . Firstly

the main ideas of intra-/inter-prediction in H.264 and their advantages and disadvantages in P frame encoding were analyzed. Then

the new video compression method based on the fractal video compression and its characteristics were discussed. Furthermore

by combining the advantages of new standard H.264 with fractal video compression method

the P frame in H.264 was predicted by proposed method. Finally

the fractal coefficient coding and residual coding generated from fractal prediction encoding were given. Experimental results show that the proposed coding system has reduced the bite rate and the encoding time to 65% and 19% respectively those of the H.264 reference software JM15.1

while the Peak Signal Noise Ratio(PSNR) can be ignored (average reduce 0.09 dB). These results can satisfy the requirements of variable motion video sequences and can improve the overall performance of the H.264 video coding system.

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中国科学院研究生院

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

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