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Proceedings Paper

Vide: an editor for the visual exploration of raw data
Author(s): M. Wörner; G. Reina; S. Grottel; T. Ertl
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Paper Abstract

The analysis of binary data remains a challenge, especially for large or potentially inconsistent files. Traditionally, hex editors only make limited use of semantic information available to the user. We present an editor that supports user-supplied semantic data definitions. This semantic information is used throughout the program to realize semantic data visualization and data exploration capabilities not present in similar systems. Visualization and human-computer interaction techniques are applied. We show that this makes recognizing the structure of unknown or inconsistent data much more effective. Our approach demonstrates concepts that can be applied to the visual analysis of raw data in general.

Paper Details

Date Published: 18 January 2010
PDF: 12 pages
Proc. SPIE 7530, Visualization and Data Analysis 2010, 75300C (18 January 2010); doi: 10.1117/12.845450
Show Author Affiliations
M. Wörner, Univ. Stuttgart (Germany)
G. Reina, Univ. Stuttgart (Germany)
S. Grottel, Univ. Stuttgart (Germany)
T. Ertl, Univ. Stuttgart (Germany)

Published in SPIE Proceedings Vol. 7530:
Visualization and Data Analysis 2010
Jinah Park; Ming C. Hao; Pak Chung Wong; Chaomei Chen, Editor(s)

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