摘要
粗糙集理论是近年来发展起来的处理不完整数据的最新成果,是一种刻画不完整性和不确定性的数据的有效数学工具,能高效地分析与处理不精确、不一致和不完整等各种不完备信息,并从中发现隐含知识,揭示潜在规律。首先介绍了粗糙集理论的基本概念、知识表示和属性约简;接着研究了粗糙集理论在视频分析中的应用思想与方法,包括RS在镜头检测中的应用与RS在关键帧提取中的应用;最后对文章进行了总结,并对RS理论进行了展望。
Rough Sets is the most new techniques developed rapidly in recent years, which is an useful mathematic tool to depict deficient and inconsistent data and can efficiently handle the information that not unprecise and deficient, finding underline imply knowledge and discovering the potential regulation. Firstly, the paper introduced the basic concepts of Rough Sets such as representation of knowledge, attributes reduction.Secondly, exploring the think and methods of application of Rough Sets theory in video analysis in detail, including the application of Rough Sets in video shots detection and application of Rough Sets in key frame extraction. Finally, the paper have a summarization of the context, and meanwhile having a prospect to the Rough Sets.
出处
《软件》
2014年第9期1-5,共5页
Software
基金
国家自然科学基金项目"压缩域海量视频浓缩关键技术研究"(61462057)
甘肃省高等学校科研项目(2013A-124)
甘肃省建设科技攻关项目(0612-05)
兰州市战略新兴产业攻关专项项目(2013-4-23)
关键词
计算机应用
视频分析
粗糙集
镜头检测
关键帧提取
computer application
video analysis
Rough Sets
shot detection
key frame extraction
