| 基于粗糙集的视频片段自动分类方法 |
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| 引用本文： | 曾晓宁,崔勇,蔺旭东.基于粗糙集的视频片段自动分类方法[J].河北科技师范学院学报,2009,23(1):48-51. |
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| 作者姓名： | 曾晓宁 崔勇 蔺旭东 |
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| 作者单位： | 1. 河北科技师范学院,计算机系,河北,秦皇岛,066004
2. 中国环境管理干部学院,计算机系 |
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| 摘 要： | 网络的普及和交互电视的应用推动了视频分类的发展,迫切需要一种方便、快速的自动视频分类方法。本研究利用从视频片段中提取的与镜头有关的特征、颜色特征、音频特征和运动特征作为视频内容分类的可计算特征,并基于粗糙集理论,发挥其无需先验信息而从信息系统中分析多余属性的能力和从决策表中抽取规则的能力,对上述可计算特征进行分类形成规则,从而实现对视频片段的分类。
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| 关 键 词： | 视频分类 特征提取 特征选择 粗糙集 |
The Automatic Genre Classification for Video Clips Based on Rough Set |
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| ZENG Xiao-ning,CUI Yong,LIN Xu-dong.The Automatic Genre Classification for Video Clips Based on Rough Set[J].Journal of Hebei Normal University of Science & Technology,2009,23(1):48-51. |
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| Authors: | ZENG Xiao-ning CUI Yong LIN Xu-dong |
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| Institution: | 1 Dept of Computer;Hebei Normal University of Science and Technology;Qinhuangdao Hebei;066004;2 Dept of Information Engineering;Environmental Management College of China;China |
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| Abstract: | The popularization of network and the application of interactive television have been promoting the development of video classification.A convenient and fast method of automatic video classification is needed.In our study,shot,color,audio and motion features of video clips were first extracted as the computable features for video classification.These features were then classified by making the use of the capabilities of analyzing redundant attributes and extracting rules from decision tables of rough set th... |
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| Keywords: | video classification feature extraction feature selection rough set |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
