ImageCube: An image browser featuring a multi-dimensional data visualization. Image browsing techniques become increasingly important for overview and retrieval of particular images in large-scale collections. At the same time, there are various sets of images which are associated with multi-dimensional or multivariate datasets. We believe that image browsing for such datasets should be inspired from multi-dimensional data visualization techniques. This paper presents ImageCube, a scatterplot-like browser for image collections associated with multi-dimensional datasets. ImageCube locates a set of images into a display space assigning a pair of dimensions to X- and Y –axes. It suggests preferable pairs of dimensions by applying Kendall’s rank correlation and Entropy on the display space, so that users can easily obtain interesting visualization results. This paper presents a case scenario that a user finds a preferable car from an image collection by using ImageCube.

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  1. Zheng, Yunzhu; Gomi, Ai; Itoh, Takayuki: ImageCube: an image browser featuring a multi-dimensional data visualization (2014)