基于LLE的视频摘要提取方法研究

为了自动获取主要视频信息且冗余信息较少的视频摘要,本文提出了LLE-自适应FCM和LLE-自适应阈值FCM算法.这两种方法首先利用流形学习算法局部线性嵌入（LLE）提取视频帧的特征向量,然后将得到的特征向量输入到自适应FCM和自适应阈值FCM中,得出分类效果和聚类中心.自适应FCM通过聚类有效性函数来确定分类类别数,而自适应阈值FCM是通过阈值的自动变化来确定分类类别数.最后把离聚类中心最近的视频帧作为视频摘要.实验的结果表明,在不需要人工干预的情况下,所提取的视频摘要既反映了视频的主要内容,而且冗余信息少.

Video Abstract Based on Locally Linear Embedding

In order to get the main information automatically,while the redundant information is less,the LLE-Adaptive FCM and LLE-Adaptive threshold FCM are presented in this paper.At the beginning of two algorithms,getting the feature vectors of video frames via locally linear embedding(LLE),and then inputing the feature vectors into LLE-Adaptive FCM and LLE-Adaptive threshold FCM,the results of clustering and Clustering centers will be got.Adaptive FCM through clustering validity function to determine the classification numbers,and Adaptive threshold FCM through the automatic changes of threshold to determine the number of classification.Finally,computing the Video Abstracts which have the shortest distances between video frames and clustering centers.The exams show that the extracting key frames can express the main content of video and redundant information is less when without artificial intervention.