Constructing storyboards based on hierarchical clustering analysis

被引：2

作者：

Hasebe, S ^{[1
]}

Sami, MM ^{[1
]}

Muramatsu, S ^{[1
]}

Kikuchi, H ^{[1
]}

机构：

[1] Wireless & Visual Commun Co Ltd, Niigata, Japan

来源：

VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2005, PTS 1-4 | 2005年 / 5960卷

关键词：

video summarization; clustering; wavelets;

D O I：

10.1117/12.631385

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

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.

引用

页码：437 / 445

页数：9

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