Presentation | 2011-06-06 Efficient Emotional Video Scene Detection by Selecting and Integrating Concise Facial Features Hiroki NOMIYA, Teruhisa HOCHIN, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | For the purpose of rapid retrieval of impressive video scenes including emotional expressions of human beings, this paper proposes an efficient detection method of emotional expressions in video scenes. In the proposed method, a large number of facial features are defined using several facial feature points around principal facial components such as eyes and a mouth, based on the positional relationship of facial feature points and the intensity values of image pixels around them. By evaluating the usefulness of the facial features, an efficient facial expression recognition model is constructed using a small number of useful facial features based on machine learning. The experimental result shows that the recognition model enables us to perform efficient video scene detection taking into account the tradeoff between detection accuracy and detection speed. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Facial Expression Recognition / Feature Selection / Feature Extraction / Machine Learning |
Paper # | DE2011-7,PRMU2011-38 |
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Committee | DE |
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Conference Date | 2011/5/30(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Efficient Emotional Video Scene Detection by Selecting and Integrating Concise Facial Features |
Sub Title (in English) | |
Keyword(1) | Facial Expression Recognition |
Keyword(2) | Feature Selection |
Keyword(3) | Feature Extraction |
Keyword(4) | Machine Learning |
1st Author's Name | Hiroki NOMIYA |
1st Author's Affiliation | Kyoto Institute of Technology() |
2nd Author's Name | Teruhisa HOCHIN |
2nd Author's Affiliation | Kyoto Institute of Technology |
Date | 2011-06-06 |
Paper # | DE2011-7,PRMU2011-38 |
Volume (vol) | vol.111 |
Number (no) | 76 |
Page | pp.pp.- |
#Pages | 6 |
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