摘要
关键帧是视频处理中的一个关键技术。通过对视频进行关键帧提取,来有效地获取视频信息,从而提高人们在视频库中检索信息的准确性和效率。K-means聚类算法是视频关键帧提取的一个重要方法,但是,聚类阈值设定不合理,往往会导致关键帧的提取效果不理想,所以,针对以上问题提出一种自适应阈值的方法,并通过实验证明该方法的有效性。
The key frame is a key technology of video processing. People can get information of the video effectively, through extracting key frame of video. It can improve the accuracy and efficiency of people to retrieve information from video library. K-means clustering algorithm is a key method of video key frame extraction. However, setting unreasonable clustering threshold can lead the consequence of key frame ex-traction to be unsatisfactory. Thus, puts forward an adaptive threshold method to solve above problems, and the experimental results show the effectiveness of the proposed method.
