There are growing needs for quick preview of video contents for the purpose of improving accessibility of video archives as well as reducing network traffics. In this paper, a storyboard that contains a user-specified number of keyframes is produced from a given video sequence. It is based on hierarchical cluster analysis of feature vectors that are derived from wavelet coefficients of video frames. Consistent use of extracted feature vectors is the key to avoid a repetition of computationally-intensive parsing of the same video sequence. Experimental results suggest that a significant reduction in computational time is gained by this strategy.
雑誌名
Proceedings of SPIE - the International Society for Optical Engineering
巻
5960
ページ
437 - 445
発行年
2005-12
出版者
International Society for Optical Engineering, SPIE
ISSN
0277786X
書誌レコードID
AA10619755
DOI
info:doi/10.1117/12.631385
権利
Copyright 2005 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Constructing Storyboards Based on Hierarchical Clustering Analysis
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