| Presentation | 2000/7/21 Organization of Video Image by Information Integration of Telop Character and Speech Dictation Seiichi Takao, Yasuo Ariki, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Video image must be beforehand segmented into indivisual topic for its organization. In this paper, we study on automatic topic segmentation. Conventional topic segmentation techniques require large amount of training data changing everyday. But this is really impossible, because time difference and topic distribution difference occur between training data and test data. To solve these problems, we propose a method of word space learning by integrating the information of telop appearing sections with speech transcription in this paper. Its effectiveness was shown by carrying out topic segmentation based on the method of word space learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | organization of video image / information integration / telop character / speech recognition / word space |
| Paper # | DE2000-71 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2000/7/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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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) | Organization of Video Image by Information Integration of Telop Character and Speech Dictation |
| Sub Title (in English) | |
| Keyword(1) | organization of video image |
| Keyword(2) | information integration |
| Keyword(3) | telop character |
| Keyword(4) | speech recognition |
| Keyword(5) | word space |
| 1st Author's Name | Seiichi Takao |
| 1st Author's Affiliation | Faculty of Science and Technology, Ryukoku University() |
| 2nd Author's Name | Yasuo Ariki |
| 2nd Author's Affiliation | Faculty of Science and Technology, Ryukoku University |
| Date | 2000/7/21 |
| Paper # | DE2000-71 |
| Volume (vol) | vol.100 |
| Number (no) | 228 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |