Host: Japan Society for Fuzzy Theory and Intelligent Informatics
Co-host: International Fuzzy Systems Association, IEEE Computational Intelligence Society Japan Chapter
This paper proposes an image search interface employing a directory structure to limit the search in an image data base by considering color and composition. In the proposed interface, an image is divided into blocks, in each of which the color difference between images is compared. By changing the block size depending on the number of the images to which clustering is applied, the interface makes image clusters that constitute a hierarchical directory structure. An abstract image, which is made based on the average color of each block, is expected to be a clue for selecting an appropriate directory. A user can limit the search for images from the directory tree based on color and composition of the abstract image.
