Abstract
We have developed a user interface for similarity-based image retrieval, where the distribution of retrieved data in a high-dimensional feature space is represented as a dynamical scatter diagram of thumbnail images in a 3-dimensional visualization space and similarities between data are represented as sizes in the 3-dimensional space. Coordinate systems in the visualization space are obtained by statistical calculations on the distribution of feature vectors of retrieved images. Our system provides some different transformations from a high-dimensional feature space to a 3-dimensional space that give different coordinate systems to the visualization space. By changing the coordinates automatically at some intervals, a spatial-temporal pattern of the distribution of images is generated. Furthermore a hierarchical coordinate system that consists of some local coordinate systems based on key images can be defined in the visualization space. These methods can represent a large number of retrieved results in a way that users can grasp intuitively.
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© 1999 Springer-Verlag Berlin Heidelberg
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Hiroike, A., Musha, Y., Sugimoto, A., Mori, Y. (1999). Visualization of Information Spaces to Retrieve and Browse Image Data. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_20
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DOI: https://doi.org/10.1007/3-540-48762-X_20
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