Abstract
Large size and complex multi-dimensional characteristics of image collections demand a multifaceted approach to exploration and analysis providing better comprehension and appreciation. We explore large and complex data-sets composed of images and parameters describing the images. We describe a novel approach providing new and exciting opportunities for the exploration and understanding of such data-sets. We utilize coordinated, multiple views for interactive visual analysis of all parameters. Besides iterative refinement and drill-down in the image parameters space, exploring such data-sets requires a different approach since visual content cannot be completely parameterized. We simultaneously brush the visual content and the image parameter values. The user provides a visual hint (using an image) for brushing in addition to providing a complete image parameters specification. We illustrate our approach on a data-set of more than 26,000 images from Flickr. The developed approach can be used in many application areas, including sociology, marketing, or everyday use.
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Matković, K., Gračanin, D., Freiler, W., Banova, J., Hauser, H. (2009). Large Image Collections – Comprehension and Familiarization by Interactive Visual Analysis. In: Butz, A., Fisher, B., Christie, M., Krüger, A., Olivier, P., Therón, R. (eds) Smart Graphics. SG 2009. Lecture Notes in Computer Science, vol 5531. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02115-2_2
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DOI: https://doi.org/10.1007/978-3-642-02115-2_2
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