Shot Boundary Detection with Main Color
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摘要: 视频结构化组织是建立视频检索和浏览系统的基础,而镜头边界检测是视频结构化的第一步. 在本文中,我们提出了基于基色调的镜头边界检测方法. 该方法首先利用 I 帧的比特数信息,减少参与检测的 I 帧;然后在考虑基色调的基础上得到局部的自适应阈值;最后用双阈值方法检测镜头边界. 实验证明,该方法可以对长视频序列进行较好的镜头突变和渐变检测,并且减少了计算量,同时能够排除大物体运动和摇镜头对镜头检测的影响.Abstract: Shot boundary detection is one of the critical techniques in video browsing and indexing systems. In this paper, we propose a main color based shot boundary detection algorithm on DC images. We use the bit-rate information to decrease the number of I frames that take part in the shot change detection. Then we obtain local adaptive thresholds based on the main color of a segment ofthe video sequence. Finally, we detect shot change based on twin-comparison method. Experimental results show that our algorithm can detect shot boundary from a long video sequence with reduced computation, and at the same time solve the problems that are caused by object moving and camera panning in shot change detection.
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Key words:
- Shot boundary /
- adaptive threshold /
- bit-rate /
- main color
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