| Presentation | 2007-10-26 PCA-Based Personal Favorite Scene Selection from Broadcast Soccer Video(Internationa Session 8) Masao IZUMI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a novel method for selecting personal favorite scenes using Principle Component Analysis (PCA) based approach from broadcast soccer videos. In our method, we use physical parameters extracted from videos, such as image space frequency and time space frequency. We use these physical parameters as feature vectors, make an eigenspace of these vectors extracted from image slices of broadcasted soccer videos, and select the image slices that the distance from prior selected image slices as a personal favorite scene in the eigenspace is small. Personal favorite scenes are characterized as the feature vectors which are selected from physical parameters extracted from videos. The experimental results show the ability of our proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Principle Component Analysis / Scene Selection / Broadcast Soccer Video |
| Paper # | PRMU2007-123 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2007/10/18(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 | Pattern Recognition and Media Understanding (PRMU) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | PCA-Based Personal Favorite Scene Selection from Broadcast Soccer Video(Internationa Session 8) |
| Sub Title (in English) | |
| Keyword(1) | Principle Component Analysis |
| Keyword(2) | Scene Selection |
| Keyword(3) | Broadcast Soccer Video |
| 1st Author's Name | Masao IZUMI |
| 1st Author's Affiliation | Graduate School of Engineering, Osaka Prefecture University() |
| Date | 2007-10-26 |
| Paper # | PRMU2007-123 |
| Volume (vol) | vol.107 |
| Number (no) | 281 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |