Large Scale News Video Database Browsing and Retrieval via Information Visualization

被引：0
|
作者：
Luo, Hangzai [1 ]
Fan, Jianping [1 ]
Satoh, Shin'ichi [2 ]
Ribarsky, William [1 ]
机构：
[1] UNC Charlotte, Dept Comp Sci, Charlotte, NC 28223 USA
[2] Natl Inst Informat, Tokyo, Japan
来源：
APPLIED COMPUTING 2007, VOL 1 AND 2 | 2007年
关键词：
Semantic Video Classification; Video Visualization;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we have developed a novel framework to enable more effective visual analysis and retrieval of large-scale news videos via interactive visualization, so that the audiences can find news stories of interest at first glance. Keyframes and keywords are automatically extracted from news video clips and visually represented according to their interestingness measurement and relations. A computational approach is also developed to quantify the interestingness measurement of video clips. Our experimental results have shown that our techniques for intelligent news video analysis have the capacity to enable more effective visualization and retrieval of large-scale news videos. Our visualization-based news video analysis and retrieval system is very useful for security applications and for general audiences to quickly find the news stories of interest from large-scale news videos among many channels.
引用
收藏
页码：1086 / +
页数：2
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