摘要
随着数字视频的广泛应用,视频数据库系统已成为多媒体领域的一个研究热点。在建立视频数据库的过程中,视频场景的分割是一个重要而又难以解决的问题。文章从分析新闻视频场景所特有的结构特征入手,提出了一种基于语义信息提取的新闻视频场景分割新方法,该方法通过对音频流和视频流中的镜头变换、主持人镜头、主题字幕和静音区间等语义信息的提取和分析来实现新闻视频场景的分割。实验表明,采用该文提出的方法,场景分割正确率可达86.9%,较好地解决了新闻视频场景分割问题。
With the wide application of digital video,video database system has been an important direction in multi-media domain.In the field of video database research,segmentation of a video scene has been an important problem hard to solved.This paper begins with analyzing the structural features of news video and then introduces a new method for scene segmentation based extracting the semantic features.In this method extraction and analysis for shot change,an-chorperson shot,topic caption and silence interval in audio and video stream are carried out to realize news video scene segmentation.It can be seen from the result of experimentation that the correctness to segmentation rate is up to86.9%with the application of the method mentioned above.Hence,the method is a satisfied solution for the news video scene segmentation.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第4期204-206,221,共4页
Computer Engineering and Applications
