关键词: 视频检索, 关键帧, 主成分分析法, 聚类

Abstract: Key-frame extraction is important to content-based video analysis.For extracting key frames efficiently from different video，this paper presents an efficient method for key-frame extraction in which principal components analysis is applied to key-frame extraction.The initial clustering centers and the number of clustering k are determined by visual content，through k-means clustering get the key frames.The experiment indicates the algorithm can filter out flash events，is efficient in key-frame extraction and the extracted key frames can give a good visual summarization of the original motion video．

Key words: video indexing, key-frame, principal components analysis, clustering