Video Feature Extraction Based on Improved Locality Preserving Projections
XIAO Yong-Liang1,2,XIA Li-Min1
1.School of Information Science and Engineering,Central South University,Changsha 410083 2.Department of Information Management,Hunan College of Finance and Economics,Changsha 410205
Abstract A method to extract video feature is introduced. To solve the problems related to the projection dimension and nearest neighbor K in locality preserving projections (LPP), the method to determine the optimal projection dimension based on structure error between dimension reduction before and after is proposed in this papers. The nearest neighbor K is dynamically selected combining with the neighbor statistical character of each data. On the basis of the above an optimal projection matrix of video feature is obtained by using LPP, and then the high dimension feature of new video is reduced to a lower one through the projection matrix. The comparison of experimental results show that the feature based on LPP is more favorable for shot segmentation than the other features.
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2010, Vol. 23 
