| Presentation | 1996/7/25 Dynamic Clustering and Movie Asset Retrieval for Video Databases Kenji Hatano, Katsumi Tanaka, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a framework for effective clustering and similarity-based retrieval of image video data. Instead of giving keywords or authoring them, we use image coding in order to extract characteristics of image data. Coded image data are clustered by Kohonen's self-organizing map, and the result is visualized in a 3D form. By this, similarity-based retrieval is achieved. We implement a prototype system and report experimental results. We consider that our system effectively promote resue of disordered image data assets. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | DE96-28 |
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| Committee | DE |
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| Conference Date | 1996/7/25(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (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) | Dynamic Clustering and Movie Asset Retrieval for Video Databases |
| Sub Title (in English) | |
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| 1st Author's Name | Kenji Hatano |
| 1st Author's Affiliation | Division of Computer and Systems Engineering,Graduate School of Scicnce and Technology, Kobe University() |
| 2nd Author's Name | Katsumi Tanaka |
| 2nd Author's Affiliation | Division of Intelligence Science,Graduate School of Science and Technology, Kobe University |
| Date | 1996/7/25 |
| Paper # | DE96-28 |
| Volume (vol) | vol.96 |
| Number (no) | 176 |
| Page | pp.pp.- |
| #Pages | 6 |
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