摘要
随着计算机技术快速发展及其普遍应用,视频数据容量也展示出几何级数增长的发展状态。而如何在海量视频图像检索系统内快速检索所需要的片段及视频信息,成为研究的热点问题。本文研究中,以公安部门视频监控系统为研究对象,针对海量的视频数据库,提出依托Map/Reduce分布式计算模型和关键帧算法相结合的方式,这种方法不仅可以提升检索效率,也能大大提高检索准确率,以期为类似研究提供一定的参考。
With the rapid development of computer technology and its widespread application, video data capacity also shows the development state of geometric progression growth. How to quickly retrieve the required fragments and videos in the massive video image retrieval system has become a hot topic of research. In this study, taking the video surveillance system of public security department as the research object, aiming at the massive video database, this paper puts forward a method of combining map/reduce distributed computing model with key flame acid method, which can not only improve the retrieval efficiency, but also greatly improve the retrieval accuracy, in order to provide some reference for similar research.
作者
陈跃辉
CHEN Yuehui(Chengdu Medical College,Chengdu 610000,China)
出处
《电视技术》
2018年第9期70-73,共4页
Video Engineering
