Hierarchical affective content analysis in arousal and valence dimensions
文献类型:期刊论文
作者 | Xu, Min1,2![]() ![]() |
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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。