粗糙视频挖掘的体系结构和方法
首发时间:2006-02-24
摘要:由于视频数据的非结构性和复杂性(包含文本、图像、声音等信息),所以从视频数据中提取的特征往往是不精确的。粗糙集是处理具有信息不确定、不精确、不完善系统的新的数学工具,文章根据粗糙集理论的特点,将其应用于视频数据挖掘过程,提出了一种挖掘视频数据的体系结构――粗糙视频数据挖掘体系结构。同时重点分析了几种挖掘方法(分类、聚类和关联)在视频数据挖掘中的应用。
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Architecture and Technique of Rough Video Data Mining
Abstract:The features selected from video data are always imprecise because the characteristics of video data are unstructured and complex. Video data includes a large number of information as text, image, audio etc. Rough set is a new mathematics tool to solve uncertainty, imprecise and incomplete information. Based on the characteristics of rough sets theory, we apply the theory to the process of video data mining. We present an architecture of the video data mining-rough video data mining architecture. At the same time, we emphasize on several mining techniques, such as classification, clustering and association, and their application in video data mining.
Keywords: Video data mining Rough set Data mining
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No.5351395261140754****
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