物联网技术Issue(8)：59-61,3.
基于视频聚类的关键帧提取算法
Key Frame Extraction Algorithm Based on Video Clustering
摘要
Abstract
Key frame candramatically reduce the data of video indexing, and it is the fundamental processes in video analysis and video retrieval.In order to solve the problems that the traditional clustering algorithm is sensitive to the initial parameter in key frame extraction process, we propose an improved key frame extraction algorithm based on video clustering.Firstly, we extract the features of video frames. And the hierarchical clustering algorithm is used to obtain an initial clustering result, according to thesimilarity between two video frames.Then, K-means algorithm is conducted to optimize the initial clustering result and obtain the ifnal clustering result. Finally, the center frame of each clustering is extracted as key frame. Experimental results show that the precision and recall ratio of our proposed algorithm are greatly improved. The key frames extracted by our algorithm are better to express the primary content of video.关键词
关键帧/特征提取/层次聚类/K-means算法Key words
keyframe/feature extraction/hierarchical clustering/K-means algorithm分类
信息技术与安全科学引用本文复制引用
刘华咏,郝会芬,李涛..基于视频聚类的关键帧提取算法[J].物联网技术,2014,(8):59-61,3.基金项目
中央高校自主科研项目(No. CCNU10A01012) （No. CCNU10A01012）
