Presentation 2000/9/14
A Study of Automatic Generation of Image Retrieval Algorithm
Gang ZHAO, Aki KOBAYASHI, Yoshinori SAKAI,
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Abstract(in English) Recently, a demand for Content Based Retrieval is increasing. We have proposed image retrieval system based on keyword. The retrieval algorithm of the system consists of grouping switch, quantizers and N out of M detector. The output of quantizers were only 0 or 1 and it could not manage an image retrieval enough. In this paper, we propose image retrieval algorithm based on diversification of the output of quantizers. We use weight to achieve it, which is expressed by a real number. We propose the method of adding weight to quantizers or clusters. Further, we make out a user interface to show the proposed algorithm has the capability to manage image retrieval.
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Keyword(in English) Image retrieval / keyword / quantizer / cluster / weight
Paper # PRMU2000-64
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Conference Information
Committee PRMU
Conference Date 2000/9/14(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Automatic Generation of Image Retrieval Algorithm
Sub Title (in English)
Keyword(1) Image retrieval
Keyword(2) keyword
Keyword(3) quantizer
Keyword(4) cluster
Keyword(5) weight
1st Author's Name Gang ZHAO
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Aki KOBAYASHI
2nd Author's Affiliation Tokyo Institute of Technology
3rd Author's Name Yoshinori SAKAI
3rd Author's Affiliation Tokyo Institute of Technology
Date 2000/9/14
Paper # PRMU2000-64
Volume (vol) vol.100
Number (no) 311
Page pp.pp.-
#Pages 6
Date of Issue