For the current REF see the REF 2021 website REF 2021 logo

Output details

11 - Computer Science and Informatics

University of Oxford

Return to search Previous output Next output
Output 37 of 263 in the submission
Article title

An Information-theoretic Framework for Visualization

Type
D - Journal article
Title of journal
IEEE Transactions on Visualization and Computer Graphics
Article number
-
Volume number
16
Issue number
6
First page of article
1206
ISSN of journal
1077-2626
Year of publication
2010
Number of additional authors
1
Additional information

<20>

This is the first serious proposal for a mathematically-based theory of visualization. The work brings mathematical reasoning and empirical evidence together, and derives three new information-theoretic laws in visualization. The theory explains a few important phenomena such as overview-zoom-details and depth perception. It makes a significant theoretic discovery that visualization breaks the mathematical condition of data processing inequality, confirming the important role of visualization in the era of data deluge. It defines the scope of future research by summarising the connection between over 30 concepts in information theory and the relevant technical problems and solutions in visualization.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
26
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-