JACIII Vol.17 No.4 pp. 573-580
doi: 10.20965/jaciii.2013.p0573


Spherical Visualization of Image Data with Clustering

Yuichi Yaguchi and Ryuichi Oka

The University of Aizu, Tsuruga, Ikkimachi, Aizuwakamatsu, Fukushima 965-8580, Japan

February 14, 2013
April 24, 2013
July 20, 2013
information visualization, data mining, knowledge discovery, multi-dimensional scaling, imagesimilarity
This paper proposes to aid the search for images by visualization of the image data on a spherical surface. Many photographs were lost in the Tohoku tsunami, and those that were eventually found are now being scanned. However, the owners of the lost photographs are finding it difficult to search for their images within a large set of scanned images that contain no additional information. In this paper, we apply a spatial clustering technique called the Associated Keyword Space (ASKS) projected from a threedimensional (3D) sphere to a two-dimensional (2D) spherical surface for 2D visualization. ASKS supports clustering, and therefore, we construct an image search system in which similar images are clustered. In this system, similar images are identified by color inspection and by having similar characteristics. In this way, the system is able to support the search for images from within a huge number of images.
Cite this article as:
Y. Yaguchi and R. Oka, “Spherical Visualization of Image Data with Clustering,” J. Adv. Comput. Intell. Intell. Inform., Vol.17 No.4, pp. 573-580, 2013.
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