Paper
17 December 1998 Image retrieval system based on interactive reduction of feature space
Aki Kobayashi, Toshiyuki Yoshida, Yoshinori Sakai
Author Affiliations +
Abstract
This paper proposes an image retrieval system, which searches a database for images similar to a target imagined by a user. The system uses image features, rather than keywords, and retrieves images by reducing a multidimensional feature space generated by the image feature vectors. The system presents the user sample images, with a suitable feature vector value, and requires the user's interaction to obtain information regarding application of specific images. The information is then used to appropriately reduce the feature space. This process continues, until the target region is reduced to a suitable volume. Since this method requires neither a real target image nor keywords in retrieving, it is quite simple and practical. Experimental results show the advantage and efficiency of the proposed system.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aki Kobayashi, Toshiyuki Yoshida, and Yoshinori Sakai "Image retrieval system based on interactive reduction of feature space", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333879
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image retrieval

Feature extraction

Databases

Image processing

Copper

System identification

Computed tomography

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