A Fast Gradual Shot Boundary Detection Method Based on SURF

被引：0
|
作者：
Wu, Zhonglan [1 ]
Xu, Pin [1 ]
机构：
[1] Commun Univ China, Beijing 100024, Peoples R China
来源：
PRACTICAL APPLICATIONS OF INTELLIGENT SYSTEMS, ISKE 2013 | 2014年 / 279卷
关键词：
Video retrieval; Gradual shot change; Shot boundary detection; HSV histogram; SURF;
D O I：
10.1007/978-3-642-54927-4_66
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Video shot boundary detection is a key technology of content-based video retrieval, and has been extensively studied in these years. But researchers tend to sacrifice speed for a higher accuracy. To improve the performance of the algorithm and reduce the computational cost, Hue, Saturation, Value (HSV) histogram is introduced into the pre-processing of the video to output the candidate gradual shot segments. Then we use speeded up robust features (SURF) to detect the gradual shot boundaries. The experiment results show that the method can improve the speed with a high degree of accuracy.
引用
收藏
页码：699 / 706
页数：8
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