Presentation 2002/7/12
A Trainable Retrieval System for Binary Images
Atsushi MATSUMURA, Miki HASEYAMA, Hideo KITAJIMA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a novel method to retrieve binary images. In this method, partial features, defined as Regions and Aspects, are used to retrieve the desired images. By using these features, the similarities between an input image and the images in a database are computed. Based on the computed results, the desired image is obtained. Moreover, in the processes of obtaining the desired image, our method adopts training to reflect the user's subjectivity. The training assigns the weights for the significant Regions and Aspects based on the user's actions, such as selecting the desired image. These processes make the retrieval more effective. This paper also shows the effectiveness of the proposed method by several experiments.
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Keyword(in English) image recognition / image retrieval / binary images / training
Paper # MVE2002-34
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Conference Information
Committee MVE
Conference Date 2002/7/12(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Trainable Retrieval System for Binary Images
Sub Title (in English)
Keyword(1) image recognition
Keyword(2) image retrieval
Keyword(3) binary images
Keyword(4) training
1st Author's Name Atsushi MATSUMURA
1st Author's Affiliation School of Engineering, Hokkaido University()
2nd Author's Name Miki HASEYAMA
2nd Author's Affiliation School of Engineering, Hokkaido University
3rd Author's Name Hideo KITAJIMA
3rd Author's Affiliation School of Engineering, Hokkaido University
Date 2002/7/12
Paper # MVE2002-34
Volume (vol) vol.102
Number (no) 220
Page pp.pp.-
#Pages 6
Date of Issue