海量监控视频分级摘要生成系统研究  

Study on hierarchical summary generation system of massive surveillance video

作　　者：马元元[1] 李向伟[2] 刘艳飞[1] 

机构地区：[1]中山职业技术学院信息工程学院,广东中山528404 [2]兰州工业学院,甘肃兰州730070

出　　处：《现代电子技术》2017年第13期34-37,共4页Modern Electronics Technique

基　　金：国家自然科学基金:基于压缩域的海量视频浓缩关键技术研究(61462057);中山市科技计划项目:智能监控海量视频分级摘要提取技术研究(2015B2382)

摘　　要：针对海量监控视频的存储、浏览、检索问题,提出一种适合于海量监控视频的分级摘要生成算法,生成的分级视频摘要体积小,按照内容重要性进行排序,能减少海量监控视频摘要的存储空间,提高海量监控视频浏览和检索速度。基于上述海量监控视频摘要生成算法,设计了一个建立在Hadoop上的海量监控视频分级摘要生成系统,为海量监控视频摘要生成提供分布式存储和并行化运算环境,进一步解决了存储问题,提高了运算速度。For the storage,browse and retrieval problems existing in massive surveillance video,a hierarchical summary generation algorithm suitable for massive surveillance video is proposed. The generated hierarchical video summary with small size is ranked according to the content importance to save the summary storage space of the massive surveillance video,and improve the browse and retrieval speed of the massive surveillance video. On the basis of the summary generation algorithm of massive surveillance video,a Hadoop-based hierarchical summary generation system of massive surveillance video was designed,which can provide the distributed storage and parallel computing environments for summary generation of massive surveillance video,and solve the storage problem and improve the system computing speed further.

关 键 词：海量监控视频 分级摘要生成 压缩域 关键帧 

分 类 号：TN911-34[电子电信—通信与信息系统]