17 December 1998 Eigen-decomposition-based analysis of video images
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We present a fast algorithm for computing the singular value decomposition (SVD) of a matrix, consisting of the frames from a video sequence. The computational efficiency of this algorithm derives from the observation that portions of a video sequence will consist of sets of correlated frames. We then show that the information obtained from the SVD can be used to analyze video sequences to obtain information such as scene breaks, scene query, reduced-order shot representation and key frame determination. We illustrate this approach on several video sequences.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chu-Yin Chang, Chu-Yin Chang, Anthony A. Maciejewski, Anthony A. Maciejewski, Venkataramanan S. Balakrishnan, Venkataramanan S. Balakrishnan, } "Eigen-decomposition-based analysis of video images", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333838; https://doi.org/10.1117/12.333838


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