摘要
在经典算法的基础上,根据典型视频序列的特点对降维算法进行双通道扩展,并提出 k 近邻核函数法重建高维图像.在高低维空间建立映射,解决无重构算法的问题.同时也为视频压缩提供一条新思路.实验结果显示算法的有效性.
A dual-channel extension of nonlinear dimensionality reduction algorithm is proposed according to the characteristic of stereo video sequence. In order to construct a mapping between high and low dimensional spaces, k-neighbor kernel function method is presented, which solves the problem of lack of reconstruction algorithm and provides a new solution to video compression. Experimental results on several typical sequences show the advantages of the proposed approaches.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2006年第5期645-651,共7页
Pattern Recognition and Artificial Intelligence
关键词
非线性降维算法
局部线性嵌入(LLE)
ISO图
视频处理
特征提取
Nonlinear Dimensionality Reduction, Locally Linear Embedding (LLE), Isomap,Video Processing, Feature Extraction