摘要
针对块匹配运动估计补偿(ME+MC)算法的不足,提出了一种基于自组织特征映射(SOM)的运动模式识别(MPR)算法,应用于会议电视的视频对象编码.为了进一步提高SOM算法的性能,提出了频率敏感自组织特征映射(FSSOM)算法.实验结果表明,FSSOM-MPR算法较ME+MC算法具有更好的编码性能,在压缩比为180∶1时,重建视频图像的平均峰值信噪比(PSNR)有3.3 dB的改善.
To improve the performance of block matching algorithm in motion estimation and motion complement (ME + MC), a motion pattern recognition (MPR) algorithm based on self-organizing fea- ture maps (SOM) is proposed and tested in object-based conference video coding. A frequency sensitive self-organizing feature maps (FSSOM) algorithm is proposed to improve the SOM algorithm's perfor- mance. Experimental results show that FSSOM-MPR algorithm has better coding performances than ME + MC algorithm. When the compression ratio is 180:1, the peak signal to noise ratio(PSNR) improvement of reconstructed video images is about 3.3 dB.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2007年第4期74-77,共4页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金项目(60271014)
关键词
运动估计补偿
模式识别
自组织特征映射
视频对象编码
motion estimation and motion complement
motion pattern recognition
self-organizing feature maps
object-based video coding