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 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.
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Keyword(in English) Personal Experience Record / Lifelog / Video Retrieval / Relevance Feedback
Paper # DE2005-13,PRMU2005-34
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Committee DE
Conference Date 2005/6/10(1days)
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Registration To Data Engineering (DE)
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
Date of Issue