Extracting Key Frames for Surveillance Video Based on Color Spatial Distribution Histograms

被引:0
作者
Chang, Jun [1 ,2 ]
Hu, RuiMin [2 ]
Wang, ZhongYuan [2 ]
Hang, Bo [2 ,3 ]
机构
[1] Wuhan Univ, Sch Comp, Wuhan 430072, Peoples R China
[2] Wuhan Univ, Natl Engn Res Ctr Multimedia Software, Wuhan 430072, Peoples R China
[3] Xiangfan Univ, Math & Comp Sci Coll, Xiangfan 441053, Peoples R China
来源
ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2009 | 2009年 / 5879卷
关键词
Key Frame; color spatial distribution; surveillance video analyzing; SELECTION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a new key frame extraction method by using color spatial distribution histograms Pixels in the same color are contiguous or non-contiguous to each diet in an image. which is a noticeable spatial character With this property. the pixels ale classified as contiguous and non-contiguous ones Therefore. relined histograms distinguish the small changes better than the original histograms between flames. and it allows fine distinctions that are similar to original histograms With the evaluation of our experiments. this approach exit act key frames more efficiently and accurately
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页码:1005 / +
页数:2
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