- Title
- Using dialogue to detect emotion segments in movies
- Creator
- Xu, Min; Luo, Suhuai; Jin, Jesse S.; Liu, Tao
- Relation
- Asia-Pacific Workshop on Visual Information Processing, 2007 (VIP’07). Proceedings of the Asia-Pacific Workshop 2007 on Visual Information Processing (Tainan, Taiwan 14-16 December, 2007) p. 54-58
- Relation
- http://conf.ncku.edu.tw/vip2007/adv_prog.htm
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2007
- Description
- Movie dialogue represents participants' emotion which directly affects audiences' affective reaction. This paper presents an emotion segments detection method by using dialogue emotion detection. The proposed method has three modules. Firstly, dialogue of three categories, which are plain dialogue (PD), dialogue with music (DwM) and dialogue with other sounds (DwO) are detected by Support Vector Machine (SVM) learning. Secondly, DwM and DwO are further categorized into three emotion levels, which are high, normal and low, by Hidden Markov Model (HMM) learning. Finally, those dialogues are used to locate movie emotion segments. By this method, over 85% emotion segments are detected.
- Subject
- movies; dialogue; audience emotional response; emotion segments detection
- Identifier
- http://hdl.handle.net/1959.13/928043
- Identifier
- uon:10319
- Identifier
- ISBN:9789860105100
- Rights
- Copyright © 2007 IEEE. Reprinted from the Proceedings of the Asia-Pacific Workshop 2007 on Visual Information Processing. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Language
- eng
- Full Text
- Reviewed
- Hits: 2730
- Visitors: 3322
- Downloads: 662
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Publisher version (open access) | 338 KB | Adobe Acrobat PDF | View Details Download |