Presentation 1997/7/24
Hierarchical Model as a Framework for Constructing Similarity-Based Image Retrieval Systems
ASAN0BU KITAMOTO, Mikio TAKAGI,
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Abstract(in English) This paper proposes a "hierarchical model," used as a framework for constructing similarity-based image retrieval systems. This model represents "image content" as a set of layers divided from a viewpoint of meaning. The proposed hierarchical architecture grasps lucid perspective structure of similarity-based image retrieval systems, and it becomes possible to apply the system, without changing the framework, to a wide range of problem domains by virtue of the design to independently "plug in" appropriate methods to each layer. Similarity-based image retrieval systems based on the hierarchical model are constructed for different types of imagery, namely two types of satellite imagery and landscape imagery, and the result shows that the proposed model works effective for multiple types of imagery.
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Keyword(in English) similarity-based image retrieval / hierarchical model / image content / framework / matching / satellite imagery
Paper # MVE97-43
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Conference Information
Committee MVE
Conference Date 1997/7/24(1days)
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Paper Information
Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Hierarchical Model as a Framework for Constructing Similarity-Based Image Retrieval Systems
Sub Title (in English)
Keyword(1) similarity-based image retrieval
Keyword(2) hierarchical model
Keyword(3) image content
Keyword(4) framework
Keyword(5) matching
Keyword(6) satellite imagery
1st Author's Name ASAN0BU KITAMOTO
1st Author's Affiliation National Center for Science Information Systems()
2nd Author's Name Mikio TAKAGI
2nd Author's Affiliation Science University of Tokyo
Date 1997/7/24
Paper # MVE97-43
Volume (vol) vol.97
Number (no) 206
Page pp.pp.-
#Pages 8
Date of Issue