Presentation | 2005-06-17 Retrieval of Personal Experience Records Using Relevance Feedback with Structuring Filters Takahiro KOIZUMI, Yosinari KAMEDA, Yuichi NAKAMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose an "Relevance Feedback with Structuring Filter" to efficiently retrieve personal experience records. This method is based on relevance feedback in which a user can retrieve similar records by giving samples to the system, and refining by choosing more appropriate samples. Our method retrieve strongly related data as well as data that are similar to the samples. This process makes the retrieval process more flexible and efficient. In this paper, first we define semantic structures of personal experience record, then describe relevance feedback with structuring filter, and give some experimental results that show the efficacy of our framework. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Personal Experience Record / Lifelog / Video Retrieval / Relevance Feedback |
Paper # | DE2005-13,PRMU2005-34 |
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Committee | DE |
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Conference Date | 2005/6/10(1days) |
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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) | Retrieval of Personal Experience Records Using Relevance Feedback with Structuring Filters |
Sub Title (in English) | |
Keyword(1) | Personal Experience Record |
Keyword(2) | Lifelog |
Keyword(3) | Video Retrieval |
Keyword(4) | Relevance Feedback |
1st Author's Name | Takahiro KOIZUMI |
1st Author's Affiliation | Graduate School of Engineering, Kyoto University() |
2nd Author's Name | Yosinari KAMEDA |
2nd Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba |
3rd Author's Name | Yuichi NAKAMURA |
3rd Author's Affiliation | Graduate School of Engineering, Kyoto University:ACCMS, Kyoto University |
Date | 2005-06-17 |
Paper # | DE2005-13,PRMU2005-34 |
Volume (vol) | vol.105 |
Number (no) | 117 |
Page | pp.pp.- |
#Pages | 6 |
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