摘要
随着互联网的快速发展,网络上的多媒体信息也不断丰富。这些多媒体信息数据量大、数据类型复杂多样,尤其是视频数据信息。如何快速准确地从海量的视频数据中挖掘出视频的内容信息对视频检索是非常重要的。文中介绍了一般视频检索系统的结构,分析了视频检索中的几项关键技术和评价标准,最后指出了当前视频检索算法存在的问题以及今后的发展方向。
With the rapid development of Internet, the multimedia information on the network is more and more abundant. These multimedia information has large amount of data, complex and diverse data types, especially for video data information. How to mine rapidly and accurately the video content information from the mass of video data is very important for video retrieval. This paper introduces the structure of general video retrieval system, analyzes the key technologies of video retrieval and evaluation standards. Finally it points out the problems existing in the current video retrieval algorithm and the development direction in the future.
出处
《计算机与网络》
2015年第22期61-64,共4页
Computer & Network
关键词
视频检索
特征提取
关键帧
视频聚类
video retrieval
feature extraction
key frame
video clustering
