摘要
提出了一种利用双阈值自适应变化逼近视频镜头分割最佳阈值的算法,在双阈值各区间漏检或误检的判别通过相似度差异来完成。实验结果表明,该算法能够得到较为理想的错检率,并能得到比固定阈值算法更低的漏检率。
A video shot segmentation algorithm based on adaptive dual-threshold is proposed. Distinguishing the missed detection or wrong detection occurred in the ranges such as greater than the big threshold, between the big threshold and the small threshold, less than the small threshold is completed by calculating the difference of similarity. Experimental results show that the algorithm can be more desirable to pl^cision detection, and can achive the missed rate lower than that of the fixed threshold algorithm.
出处
《微型机与应用》
2011年第19期41-43,46,共4页
Microcomputer & Its Applications
基金
湖北省教育厅科学研究计划项目(B20102203)