Document Cards : A Top Trumps Visualization for Documents

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2009
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IEEE Transactions on Visualization and Computer Graphics. 2009, 15(6), pp. 1145-1152. Available under: doi: 10.1109/TVCG.2009.139
Zusammenfassung

Finding suitable, less space consuming views for a document s main content is crucial to provide convenient access to large document collections on display devices of different size. We present a novel compact visualization which represents the document s key semantic as a mixture of images and important key terms, similar to cards in a top trumps game. The key terms are extracted using an advanced text mining approach based on a fully automatic document structure extraction. The images and their captions are extracted using a graphical heuristic and the captions are used for a semi-semantic image weighting. Furthermore, we use the image color histogram for classification and show at least one representative from each non-empty image class. The approach is demonstrated for the IEEE InfoVis publications of a complete year. The method can easily be applied to other publication collections and sets of documents which contain images.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
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document visualization, visual summary, content extraction, document collection browsing
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ISO 690STROBELT, Hendrik, Daniela OELKE, Christian ROHRDANTZ, Andreas STOFFEL, Daniel A. KEIM, Oliver DEUSSEN, 2009. Document Cards : A Top Trumps Visualization for Documents. In: IEEE Transactions on Visualization and Computer Graphics. 2009, 15(6), pp. 1145-1152. Available under: doi: 10.1109/TVCG.2009.139
BibTex
@article{Strobelt2009Docum-6410,
  year={2009},
  doi={10.1109/TVCG.2009.139},
  title={Document Cards : A Top Trumps Visualization for Documents},
  number={6},
  volume={15},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  pages={1145--1152},
  author={Strobelt, Hendrik and Oelke, Daniela and Rohrdantz, Christian and Stoffel, Andreas and Keim, Daniel A. and Deussen, Oliver}
}
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