中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Hierarchical affective content analysis in arousal and valence dimensions

文献类型:期刊论文

作者Xu, Min1,2; Xu, Changsheng2; He, Xiangjian1; Jin, Jesse S.3; Luo, Suhuai3; Rui, Yong
刊名SIGNAL PROCESSING
出版日期2013-08-01
卷号93期号:8页码:2140-2150
关键词Affective content detection Multiple modalities Mid-level representation
英文摘要Different from the existing work focusing on emotion type detection, the proposed approach in this paper provides flexibility for users to pick up their favorite affective content by choosing either emotion intensity levels or emotion types. Specifically, we propose a hierarchical structure for movie emotions and analyze emotion intensity and emotion type by using arousal and valence related features hierarchically. Firstly, three emotion intensity levels are detected by using fuzzy c-mean clustering on arousal features. Fuzzy clustering provides a mathematical model to represent vagueness, which is close to human perception. Then, valence related features are used to detect five emotion types. Considering video is continuous time series data and the occurrence of a certain emotion is affected by recent emotional history, conditional random fields (CRFs) are used to capture the context information. Outperforming Hidden Markov Model, CRF relaxes the independence assumption for states required by HMM and avoids bias problem. Experimental results show that CRF-based hierarchical method outperforms the one-step method on emotion type detection. User study shows that majority of the viewers prefer to have option of accessing movie content by emotion intensity levels. Majority of the users are satisfied with the proposed emotion detection. (C) 2012 Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Engineering, Electrical & Electronic
研究领域[WOS]Engineering
关键词[WOS]VIDEO ; CLASSIFICATION ; FEATURES ; EMOTIONS ; FILM
收录类别SCI
语种英语
WOS记录号WOS:000318581900005
源URL[http://ir.ia.ac.cn/handle/173211/2882]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
作者单位1.Univ Technol Sydney, Sch Comp & Commun, Sydney, NSW 2007, Australia
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China
3.Univ Newcastle, Fac Sci & IT, Callaghan, NSW 2308, Australia
推荐引用方式
GB/T 7714
Xu, Min,Xu, Changsheng,He, Xiangjian,et al. Hierarchical affective content analysis in arousal and valence dimensions[J]. SIGNAL PROCESSING,2013,93(8):2140-2150.
APA Xu, Min,Xu, Changsheng,He, Xiangjian,Jin, Jesse S.,Luo, Suhuai,&Rui, Yong.(2013).Hierarchical affective content analysis in arousal and valence dimensions.SIGNAL PROCESSING,93(8),2140-2150.
MLA Xu, Min,et al."Hierarchical affective content analysis in arousal and valence dimensions".SIGNAL PROCESSING 93.8(2013):2140-2150.

入库方式: OAI收割

来源:自动化研究所

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