Constructing storyboards based on hierarchical clustering analysis

Satoshi Hasebe; Mustafa M. Sami; Shogo Muramatsu; Hisakazu Kikuchi

doi:10.1117/12.631385

24 June 2005 Constructing storyboards based on hierarchical clustering analysis

Satoshi Hasebe, Mustafa M. Sami, Shogo Muramatsu, Hisakazu Kikuchi

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59601B (2005) https://doi.org/10.1117/12.631385
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

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.

Citation Download Citation

Satoshi Hasebe, Mustafa M. Sami, Shogo Muramatsu, and Hisakazu Kikuchi "Constructing storyboards based on hierarchical clustering analysis", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59601B (24 June 2005); https://doi.org/10.1117/12.631385

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