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Large Image Collections–-Comprehension and Familiarization by Interactive Visual Analysis

K. Matkovic, D. Gračanin, W. Freiler, J. Banova, and H. Hauser

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 requiresa 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.

K. Matkovic, D. Gračanin, W. Freiler, J. Banova, and H. Hauser, "Large Image Collections–-Comprehension and Familiarization by Interactive Visual Analysis," in Proceedings of the 10th International Symposium on Smart Graphics (SG'09), 2009, p. 15–26.
[BibTeX]

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 requiresa 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.
@INPROCEEDINGS {matkovic09imagecollection,
author = "Kresimir Matkovic and Denis Gra\v{c}anin and Wolfgang Freiler and Jana Banova and Helwig Hauser",
title = "Large Image Collections---Comprehension and Familiarization by Interactive Visual Analysis",
booktitle = "Proceedings of the 10th International Symposium on Smart Graphics (SG'09)",
year = "2009",
pages = "15--26",
publisher = "Springer-Verlag",
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 requiresa 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.",
images = "images/matkovic09image1.jpg, images/matkovic09image.jpg",
thumbnails = "images/matkovic09image1_thumb.jpg, images/matkovic09image_thumb.jpg",
url = "//dx.doi.org/10.1007/978-3-642-02115-2_2"
}
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