title: Document cards: a top trumps visualization for documents.
abstract: 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.
authors.affiliation: University of Konstanz. hendrik.strobelt@uni-konstanz.de
authors.forename: Hendrik
authors.initials: H
authors.lastname: Strobelt
authors.forename: Daniela
authors.initials: D
authors.lastname: Oelke
authors.forename: Christian
authors.initials: C
authors.lastname: Rohrdantz
authors.forename: Andreas
authors.initials: A
authors.lastname: Stoffel
authors.forename: Daniel A
authors.initials: DA
authors.lastname: Keim
authors.forename: Oliver
authors.initials: O
authors.lastname: Deussen