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23 December 1999 Access method for image database
Masajiro Iwasaki, Nozomu Takahashi, Kiyotaka Morozumi
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Proceedings Volume 3972, Storage and Retrieval for Media Databases 2000; (1999) https://doi.org/10.1117/12.373560
Event: Electronic Imaging, 2000, San Jose, CA, United States
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.
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Masajiro Iwasaki, Nozomu Takahashi, and Kiyotaka Morozumi "Access method for image database", Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); https://doi.org/10.1117/12.373560
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KEYWORDS
Databases
Image retrieval
Image segmentation
Visualization
Image classification
Feature extraction
Image processing
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