A Motion Recognition Algorithm for Object-Based Video Coding

LI Hong-song; XU Bao-hua

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A Motion Recognition Algorithm for Object-Based Video Coding

更新时间：2025-07-16

- A Motion Recognition Algorithm for Object-Based Video Coding
- Acta Electronica Sinica Vol. 35, Issue 12, Pages: 2324-2328(2007)
- 作者机构：
  
  北京师范大学信息科学与技术学院,北京,100875
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP183TN919.8
- Published：2007
- 稿件说明：
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LI Hong-song, XU Bao-hua. A Motion Recognition Algorithm for Object-Based Video Coding[J]. Acta Electronica Sinica, 2007, 35(12): 2324-2328.
DOI：

LI Hong-song, XU Bao-hua. A Motion Recognition Algorithm for Object-Based Video Coding[J]. Acta Electronica Sinica, 2007, 35(12): 2324-2328. DOI：

摘要

针对目前视频编码中广泛采用的块匹配运动估计补偿(ME+MC)算法的不足

提出一种基于自组织映射(SOM)的运动模式识别(MPR)算法

并将其应用于会议电视的视频对象编码中.为了改善SOM算法的性能

提出一种频率敏感的自组织映射算法(FSOM).实验表明

与ME+MC算法相比

FSOM-MPR算法具有更好的预测编码性能.对Claire视频测试序列

当压缩比为170∶1时

重建视频图像的平均峰值信噪比(PSNR)有2.7dB的改善.

Abstract

To improve the interframe prediction capability of motion estimation and motion complement (ME+MC) in video coding

a motion pattern recognition (MPR) algorithm based on self-organizing feature maps (SOM) was proposed

and it was tested in object-based conference video coding.The frequency sensitive self-organizing feature maps (FSOM) algorithm was also proposed to overcome the disadvantages of SOM algorithm.Experimental results show that FSOM-MPR algorithm has better coding performances than ME+MC algorithm.When the compression ratio is 170:1

the improvement of PSNR is about 2.7dB using Claire conference video sequence.

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Video Object Segmentation and Two Kinds of Object-Oriented Video Coder

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