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Mathematical Problems in Engineering
Volume 2013, Article ID 353261, 9 pages
Research Article

Video Shot Boundary Recognition Based on Adaptive Locality Preserving Projections

1School of Information Science and Engineering, Central South University, Changsha 410083, China
2Department of Information Management, Hunan University of Finance and Economics, Changsha 410205, China

Received 7 August 2013; Revised 25 September 2013; Accepted 10 October 2013

Academic Editor: SunQun Cao

Copyright © 2013 Yongliang Xiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A novel video shot boundary recognition method is proposed, which includes two stages of video feature extraction and shot boundary recognition. Firstly, we use adaptive locality preserving projections (ALPP) to extract video feature. Unlike locality preserving projections, we define the discriminating similarity with mode prior probabilities and adaptive neighborhood selection strategy which make ALPP more suitable to preserve the local structure and label information of the original data. Secondly, we use an optimized multiple kernel support vector machine to classify video frames into boundary and nonboundary frames, in which the weights of different types of kernels are optimized with an ant colony optimization method. Experimental results show the effectiveness of our method.