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Illumination invariant shot boundary detection
Qing, LY; Wang, WQ; Gao, W
2003
发表期刊INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING
ISSN0302-9743
卷号2690页码:1097-1101
摘要Illumination variation poses a serious problem in video shot detection. It causes false cuts in many shot detection algorithms. A new illumination invariant measure metric is proposed in this paper. The metric is based on the assumption: the outputs of derivative filters to log-illumination are sparse. Thus the outputs of derivative filters to log-image are mainly caused by the scene itself. If the total output is larger than a threshold, it can be declared as a scene change or a shot boundary. Although this metric can detect gradual transitions as well as cuts, it is applied as a post-process procedure for a cut candidate because an illumination change is usually declared as a false cut.
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号WOS:000185822400158
出版者SPRINGER-VERLAG BERLIN
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/13692
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Qing, LY
作者单位1.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Qing, LY,Wang, WQ,Gao, W. Illumination invariant shot boundary detection[J]. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING,2003,2690:1097-1101.
APA Qing, LY,Wang, WQ,&Gao, W.(2003).Illumination invariant shot boundary detection.INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING,2690,1097-1101.
MLA Qing, LY,et al."Illumination invariant shot boundary detection".INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING 2690(2003):1097-1101.
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