An Unsupervised Fuzzy Clustering Method for Shot Clustering

摘要：

With the development of the internet,the needs of video retrieval become more and more high.So we should investigate new methods to do the retrieval to instead of the old methods which are mainly by manual marking and so on.Using the fuzzy clustering methods,we can extract the key frames and key shots by similarity measures such as SCD and CLD for it.With the key frames and key shots,the retrieval result will be more efficient.In this paper,we proposed a content-based retrieval method which mainly with the algorithm MRLC to get superior performance and representation capability with less manual operation.

关键词： Fuzzy Clustering MRLC Algorithm Shot Retrieval Key Shot Extraction Similarity Measure

作者: Zhihao Zhou Xiaonan Chen

作者单位: Department of Information Engineering,Wuxi Professional College of Science and Technology

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 263-268

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）