摘要
关键帧是描述一个镜头的关键图像帧,它通常反映一个镜头的主要内容,因此,关键帧提取技术是视频分析和基于内容的视频检索的基础。提出了一种结合互信息量与模糊聚类的关键帧提取方法,一方面通过互信息量算法对视频片段进行镜头检测可以保持视频的时间序列和动态信息,另一方面通过模糊聚类使镜头中的关键帧能很好的反映视频镜头的主要内容。最后构建了一套针对MPEG-4视频的关键帧提取系统,通过实验证明该系统提取的关键帧,可以较好地代表视频内容,并且有利于实现视频分析和检索。
A key-frame is a representation of one shot＇s content in the video,which usually reflects the main elements of a scene. Therefore,key-frame extraction and video analysis technology is the basis of content-based video retrieval. In this paper,a key-frame extraction method based on combination of mutual information and fuzzy clustering is proposed. In this method,the key-frames can maintain time-series and dynamic information of the video. And also,the key-frames can be a good reflection of the main contents of the video. Finally,one key-frame extraction system for MPEG-4 video is designed,and experiments show that the key-frame extraction system can be a better representative of video content,and conductive to the realization of video analysis and retrieval.
出处
《计算机系统应用》
2010年第4期73-76,共4页
Computer Systems & Applications
基金
浙江省信息产业厅项目(K0853119001900)
关键词
互信息量
镜头检测
模糊聚类
关键帧提取
视频检索
mutual information
shot detection
fuzzy clustering
key-frame extraction
video retrieval
