| Presentation | 1999/1/23 Access Optimization for Content-based Retrieval using Weighted Multiple Features Noburou Taniguchi, Tatsuya Takahashi, Masashi Yamamuro, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Content-based retrieval is a promising technique for retrieval of information such as image, sound and video.For this type of retrieval, it is usual that multiple features are used for similarity evaluation.In such case, accuracy and efficiency of retrieval much depends on how a multi-feature query is translated into search of each individual feature.We have previously reported that we proposed two methods to optimize translation and showed effectiveness of one of the methods by experiment.In this paper, we show additional empirical observation of the other method, and the combination of the methods. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | DE98-53 |
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| Committee | DE |
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| Conference Date | 1999/1/23(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) | Access Optimization for Content-based Retrieval using Weighted Multiple Features |
| Sub Title (in English) | |
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| 1st Author's Name | Noburou Taniguchi |
| 1st Author's Affiliation | NTT Information and Communication Systems Laboratories() |
| 2nd Author's Name | Tatsuya Takahashi |
| 2nd Author's Affiliation | Iwate University |
| 3rd Author's Name | Masashi Yamamuro |
| 3rd Author's Affiliation | NTT Information and Communication Systems Laboratories |
| Date | 1999/1/23 |
| Paper # | DE98-53 |
| Volume (vol) | vol.98 |
| Number (no) | 561 |
| Page | pp.pp.- |
| #Pages | 6 |
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