摘要
提出一种视频关键帧提取方法,以可能性C模式聚类为基础,选用主色调和次色调描述视频图像的特征,从而无需镜头分割即可直接提取视频的关键帧.实验表明,该方法能够根据视频内容的复杂度有效地提取出最具代表性的关键帧,且具有较高的鲁棒性.
A new method is proposed to extract video key frames, based on a possibilistic C-patterns （PCP） clustering algorithm. By the method, the dominant colors and the subordinate colors are used to represent the features of video frames. Consequently, the key frames can be extracted directly without shot partition. The algorithm adapts well to the visual contents. Its efficiency and effectiveness are demonstrated with the experimental results on various kinds of videos.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2005年第9期2040-2045,共6页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(60202004)
关键词
关键帧提取
聚类
主色调
视频检索
key frame extraction
clustering
dominant colors
video retrieval
