Abrupt Shot Boundary Detection Algorithm Based on Fuzzy Clustering Neural Network

摘要：

A novel model of fuzzy clustering neural network is discussed, which synthesizes unsupervised fuzzy competitive learning algorithm and self-organized competitive network. Based on this model, an algorithm of abrupt video shot boundary detection is presented which is a two-stage clustering on a linear feature space. The experimental results obtained demonstrate that the algorithm is feasible and efficient.

关键词： fuzzy clustering neural network competitive learning algorithm abrupt shot boundary detection

作者: Shujuan Shen Jianchun Cao

作者单位: Information Engineering College Zhengzhou University Zhengzhou, China Department of Information Engineering Yellow River Conservancy Technical Institute Kaifeng, China

会议类型: 国际会议

会议名称: 2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

会议地点: 上海

会议语种:英文

页码: 246-248

在线出版日期: 2011-03-11（万方平台首次上网日期，不代表论文的发表时间）