| 基于模糊理论和三段论推理的电影情感分类 |
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| 引用本文： | 林新棋,严晓明,郑之. 基于模糊理论和三段论推理的电影情感分类[J]. 山东大学学报(工学版), 2011, 41(4): 61-67 |
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| 作者姓名： | 林新棋 严晓明 郑之 |
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| 作者单位： | 福建师范大学数学与计算机科学学院计算机系, 福建 福州 350007 |
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| 基金项目： | 国家自然科学基金资助项目(61070062,11071041); 福建省教育厅A类基金资助项目(JA10064) |
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| 摘 要： | 人类情感反应具有模糊属性,针对直接应用视频底层特征识别情感类型难以提高精确度的问题,本研究在情感关联底层特征的基础上引入了模糊隶属函数,采用最大隶属度模糊化原则对底层特征进行处理,最终得到一种蕴含情感信息的特征来描述视频片段,为随后采用三段论推理实现电影情感分类提供了合适的特征,这种特征能缩短情感鸿沟。三类基本情感的分类精确度都超过84％,与现有方法相比,分类精确度平均提高了9.33％。因此本研究所提出的算法能有效地提高电影情感分类的精确度。
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| 关 键 词： | 电影情感内容 底层特征 特征强度模糊隶属函数 模糊特征向量 三段论推理 |
| 收稿时间： | 2011-04-15 |
Film affective classification based on fuzzy theory and syllogism inference |
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| LIN Xin-qi,YAN Xiao-ming,ZHENG Zhi. Film affective classification based on fuzzy theory and syllogism inference[J]. Journal of Shandong University of Technology, 2011, 41(4): 61-67 |
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| Authors: | LIN Xin-qi YAN Xiao-ming ZHENG Zhi |
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| Affiliation: | Department of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China |
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| Abstract: | Due to the fuzzy nature of the human emotional reaction,it is difficult to improve the accuracy only using the low-level features.Based on the relationships between the affect and low-level features obtained by previous workers,the fuzzy membership functions were introduced,and the low-level features were processed by the fuzzy principle of the maximum membership degree.Then a fuzzy feature vector was obtained,which could imply the affective information of the given video clip,and could be used to recognize... |
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| Keywords: | film affective content low-level feature fuzzy membership function of feature strength fuzzy feature vector syllogism inference |
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