Institute of Computing Technology, Chinese Academy IR
Illumination invariant shot boundary detection | |
Qing, LY; Wang, WQ; Gao, W | |
2003 | |
发表期刊 | INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING
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ISSN | 0302-9743 |
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 | |
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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