Image retrieval system based on interactive reduction of feature space
Aki Kobayashi, Toshiyuki Yoshida, Yoshinori Sakai · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
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.