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Proceedings Paper

Eigen-decomposition-based analysis of video images
Author(s): Chu-Yin Chang; Anthony A. Maciejewski; Venkataramanan S. Balakrishnan
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Paper Abstract

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.

Paper Details

Date Published: 17 December 1998
PDF: 10 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333838
Show Author Affiliations
Chu-Yin Chang, Purdue Univ. (United States)
Anthony A. Maciejewski, Purdue Univ. (United States)
Venkataramanan S. Balakrishnan, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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