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  2006, Vol. 19 Issue (5): 645-651    DOI:
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Feature Extraction and Image Reconstruction of Video Sequence Based on Nonlinear Dimensionality Reduction Algorithms
LI Hua1, DU SiDan1, LU Fan2, GAO DunTang1
1.Department of Electronic Science and Engineering, Nanjing University, Nanjing 210093
2.Shanxi Fenghuo Communication Group Co., Ltd., Baoji 721006

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Abstract  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.
Key wordsNonlinear Dimensionality Reduction      Locally Linear Embedding(LLE)      Isomap      Video Processing      Feature Extraction     
Received: 30 May 2005     
ZTFLH: TP181  
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LI Hua
DU SiDan
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LI Hua,DU SiDan,LU Fan等. Feature Extraction and Image Reconstruction of Video Sequence Based on Nonlinear Dimensionality Reduction Algorithms[J]. , 2006, 19(5): 645-651.
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