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Proceedings Paper

Access method for image database
Author(s): Masajiro Iwasaki; Nozomu Takahashi; Kiyotaka Morozumi
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Paper Abstract

In this paper, we present an approach to effectively access desired images in a large image database. Similarity-based image retrieval and image classification are representative methods for accessing images in an image database. With similarity-based image retrieval, it is difficult to specify a proper query image. The image classification can not achieve the high accuracy classification required by users. We present methods for hierarchical classification and the visualization. In addition, we present an image access system which integrates image retrieval with the classification and the visualization in order to overcome the issues mentioned above and improve access efficiency. The hierarchical classification is dynamically structured according to users' needs, and the image feature space visualization is real-time generated to enable users to interactively browse images. In addition, we also show the usability of an image access system integrating image retrieval with the classification and the visualization method.

Paper Details

Date Published: 23 December 1999
PDF: 9 pages
Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); doi: 10.1117/12.373560
Show Author Affiliations
Masajiro Iwasaki, Ricoh Co. Ltd. (Japan)
Nozomu Takahashi, Ricoh Co. Ltd. (Japan)
Kiyotaka Morozumi, Ricoh Co. Ltd. (Japan)

Published in SPIE Proceedings Vol. 3972:
Storage and Retrieval for Media Databases 2000
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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