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Proceedings Paper

Constructing storyboards based on hierarchical clustering analysis
Author(s): Satoshi Hasebe; Mustafa M. Sami; Shogo Muramatsu; Hisakazu Kikuchi
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Paper Abstract

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.

Paper Details

Date Published: 24 June 2005
PDF: 9 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59601B (24 June 2005); doi: 10.1117/12.631385
Show Author Affiliations
Satoshi Hasebe, Wireless & Visual Communications Co., Ltd. (Japan)
Mustafa M. Sami, Niigata Univ. (Japan)
Shogo Muramatsu, Niigata Univ. (Japan)
Hisakazu Kikuchi, Niigata Univ. (Japan)


Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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