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An information-theoretic framework for visualization
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| Venue: | IEEE Transactions on Visualization and Computer Graphics |
| Citations: | 19 - 3 self |
BibTeX
@ARTICLE{Chen_aninformation-theoretic,
author = {Min Chen and Heike Jänicke},
title = {An information-theoretic framework for visualization},
journal = {IEEE Transactions on Visualization and Computer Graphics},
year = {},
pages = {2010}
}
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Abstract
Abstract—In this paper, we examine whether or not information theory can be one of the theoretic frameworks for visualization. We formulate concepts and measurements for qualifying visual information. We illustrate these concepts with examples that manifest the intrinsic and implicit use of information theory in many existing visualization techniques. We outline the broad correlation between visualization and the major applications of information theory, while pointing out the difference in emphasis and some technical gaps. Our study provides compelling evidence that information theory can explain a significant number of phenomena or events in visualization, while no example has been found which is fundamentally in conflict with information theory. We also notice that the emphasis of some traditional applications of information theory, such as data compression or data communication, may not always suit visualization, as the former typically focuses on the efficient throughput of a communication channel, whilst the latter focuses on the effectiveness in aiding the perceptual and cognitive process for data understanding and knowledge discovery. These findings suggest that further theoretic developments are necessary for adopting and adapting information theory for visualization. Index Terms—Information theory, theory of visualization, quantitative evaluation. 1
Keyphrases
information theory information-theoretic framework theoretic framework communication channel index term information theory data communication visualization technique traditional application significant number visual information efficient throughput technical gap quantitative evaluation implicit use broad correlation suit visualization latter focus theoretic development compelling evidence major application data compression cognitive process
