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abstract

Data-sensitive visual navigation

Published: 15 May 2017 Publication History

Abstract

In visualization systems it is often the case that the changes of the input parameters are not proportional to the visual change of the generated output. In this paper, we propose a model for enabling data-sensitive navigation for user-interface elements. This model is applied to normalize the user input according to the visual change, and also to visually communicate this normalization. In this way, the exploration of heterogeneous data using common interaction elements can be performed in an efficient way. We apply our model to the field of medical visualization and present guided navigation tools for traversing vascular structures and for camera rotation around 3D volumes. The presented examples demonstrate that the model scales to user-interface elements where multiple parameters are set simultaneously.

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Cited By

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  • (2021)A privacy-preserving framework for smart contracts based on stochastic model checking2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)10.1109/TrustCom53373.2021.00075(460-467)Online publication date: Oct-2021

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Published In

cover image ACM Conferences
SCCG '17: Proceedings of the 33rd Spring Conference on Computer Graphics
May 2017
163 pages
ISBN:9781450351072
DOI:10.1145/3154353
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 May 2017

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Author Tags

  1. exploration
  2. medical visualization
  3. navigation

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  • Abstract

Funding Sources

  • Research Council of Norway
  • EC Marie Curie Career Integration Grant
  • OeAD Scientific & Technological Agreement SK 14/2016, the Vienna Science and Technology Fund (WWTF)

Conference

SCCG '17
Sponsor:
SCCG '17: Spring Conference on Computer Graphics 2017
May 15 - 17, 2017
Mikulov, Czech Republic

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Overall Acceptance Rate 67 of 115 submissions, 58%

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Cited By

View all
  • (2021)A privacy-preserving framework for smart contracts based on stochastic model checking2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)10.1109/TrustCom53373.2021.00075(460-467)Online publication date: Oct-2021

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