Robust video-shot-change detection by adaptive threshold based on the adjacent pixel intensity difference quantization histogram method

被引：0
|
作者：
Lee, Feifei [1 ]
Kotani, Koji [2 ]
Chen, Qiu [1 ]
Ohmi, Tadahiro [1 ]
机构：
[1] Tohoku Univ, New Ind Creat Hatchery Ctr, Sendai, Miyagi 9808579, Japan
[2] Tohoku Univ, Grad Sch Engn, Dept Elect, Aoba Ku, Sendai, Miyagi 9808579, Japan
来源：
PROCEEDINGS OF THE EIGHTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING | 2006年
关键词：
APIDQ; histogram method; video-shot-change detection;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this paper, we propose a robust video-shot-change detection method based on the adjacent pixel intensity difference quantization histogram method (APIDQ), which had been reliably applied to human face recognition previously. By block-division method and adaptive threshold, experimental results show that the APIDQ method can detect the shot changes more accurately than conventional method that is very susceptible to noises.
引用
收藏
页码：75 / +
页数：2
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