计算机工程 ›› 2011, Vol. 37 ›› Issue (12): 248-250.doi: 10.3969/j.issn.1000-3428.2011.12.084

• 开发研究与设计技术 • 上一篇    下一篇

基于多假设运动补偿预测的边信息改进方法

马 力,苏卓涵,杨春玲   

  1. (华南理工大学电子与信息学院,广州 510641)
  • 收稿日期:2010-11-19 出版日期:2011-06-20 发布日期:2011-06-20
  • 作者简介:马 力(1987-),男,硕士研究生,主研方向:视频编码;苏卓涵,硕士研究生;杨春玲,教授、博士
  • 基金项目:
    国家自然科学基金资助项目(60972135);华南理工大学中央高校基本科研业务费专项基金资助项目

Side Information Refinement Method Based on Multi-hypothesis Motion-compensated Prediction

MA Li, SU Zhuo-han, YANG Chun-ling   

  1. (School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China)
  • Received:2010-11-19 Online:2011-06-20 Published:2011-06-20

摘要: 根据分布式系统中边信息和原信息之间的噪声模型,提出一种基于多假设运动补偿的边信息改进方法。使用传统方法生成原始的边信息,对其进行双向运动估计产生补偿块,将补偿块线性组合成新的边信息。实验结果表明,该算法具有复杂度较低的优点,能提高边信息的质量,从而有效地改善分布式视频压缩的率失真性能。

关键词: 分布式视频编码, 边信息, 运动估计, 多假设运动补偿预测, 噪声模型

Abstract: According to the correlation noise modeling between side information and source in the Distributed Video Coding(DVC), a novel refinement method based on Multi-Hypothesis Motion-Compensated Prediction(MHMCP) is proposed. It generates original Side Information(SI) by traditional methods, uses bi-directional motion estimation to generate motion compensated blocks, and linearly combines them to generate new SI. Experimental results show that the proposed strategy with the advantage of low algorithm complexity can significantly increase the accuracy of SI, thereby effectively improves the RD performance of DVC.

Key words: Distributed Video Coding(DVC), Side Information(SI), motion estimation, Multi-Hypothesis Motion-Compensated Prediction (MHMCP), noise model

中图分类号: