【摘要】 视频流的数据量大,又是一种非结构性的数据,因此视频分类一直是视频分析工作中的一个难点。提出了首先进行视频分割,形成了一个视频属性数据库;然后使用粗糙集的属性约简方法对视频属性数据库进行数据挖掘,提取出分类规则集,实现对视频数据库的分类。更多还原

【Abstract】 Video stream has a great number of data and the video data is non- structures data, so video classification has been a diffi- culty in the field of video analysis for a long time. The approach firstly uses video segmentation to extract a set of video features and construct a video attribute database.Then the attribute reduction of rough set is used on the video attribute database to extract classi- fication rule set.更多还原