ImageCube: A Browser for Image Collections Associated with Multi-dimensional Datasets

Image browsing techniques thus 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 da...

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Bibliographic Details
Main Authors: Yunzhu Zheng, Gomi, A., Itoh, T.
Format: Conference Proceeding
Language:English
Subjects:
Image browser
Multidimensional data
Visualization
Online Access:Request full text
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Summary:Image browsing techniques thus 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 Image Cube, a scatter plot-like browser for image collections associated with multi-dimensional datasets. Image Cube 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 Image Cube.
ISSN:1550-6037
2375-0138
DOI:10.1109/IV.2011.61