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Interactive exploration and selection in volumetric datasets with color tunneling

Published: 05 October 2014 Publication History

Abstract

Interactive data exploration and manipulation are often hindered by dataset sizes. For 3D data, this is aggravated by occlusion, important adjacencies, and entangled patterns. Such challenges make visual interaction via common filtering techniques hard. We describe a set of real-time multi-dimensional data deformation techniques that aim to help users to easily select, analyze, and eliminate spatial and data patterns. Our techniques allow animation between view configurations, semantic filtering and view deformation. Any data subset can be selected at any step along the animation. Data can be filtered and deformed to reduce occlusion and ease complex data selections. Our techniques are simple to learn and implement, flexible, and real-time interactive with datasets of tens of millions of data points. We demonstrate our techniques on three domain areas: 2D image segmentation and manipulation, 3D medical volume exploration, and astrophysical exploration.

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References

[1]
C. Hurter, R. Taylor, S. Carpendale, and A. Telea, "Color tunneling: Interactive exploration and selection in volumetric datasets", Proc. IEEE PacificVis, 2014, pp. 225--232.
[2]
C. Hurter, A. Telea, and O. Ersoy, "MoleView: An attribute and structure-based semantic lens for large element-based plots" IEEE TVCG 17(12), 2011, pp. 2600--2609.
[3]
F. Chevalier, P. Dragicevic, and C. Hurter, "Histomages: fully synchronized views for image editing", Proc. ACM UIST, 2012, pp. 281--286.
[4]
C. Hurter, B. Tissoires, and S. Conversy, "FromDaDy: Spreading aircraft trajectories across views to support iterative queries," IEEE TVCG 15(6), 2009, pp. 1017--1024.
[5]
M. Ward, "XmdvTool: integrating multiple methods for visualizing multivariate data", Proc. IEEE Visualization, 1994, pp. 326--333.
[6]
A. Taylor, S. Gibson, M. Peracaula, P. Martin, T. Landecker, C. Brunt, P. Dewdney, S. Dougherty, A. Gray, L. Higgs, C. Kerton, L. Knee, R. Kothes, C. Purton, B. Uyaniker, B. Wallace, A. Willis, and D. Durand. The Canadian galactic plane survey. Astron J, 125(6):3145--3164, 2003.

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  • (2023)Interactive Occlusion-Free System for Accessible Volume ExplorationIEEE Access10.1109/ACCESS.2023.330156711(86544-86560)Online publication date: 2023

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  1. Interactive exploration and selection in volumetric datasets with color tunneling

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    cover image ACM Conferences
    UIST '14 Adjunct: Adjunct Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology
    October 2014
    150 pages
    ISBN:9781450330688
    DOI:10.1145/2658779
    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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    New York, NY, United States

    Publication History

    Published: 05 October 2014

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    Author Tags

    1. GPU techniques
    2. data cube visualization
    3. data exploration

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    UIST '14 Adjunct Paper Acceptance Rate 74 of 333 submissions, 22%;
    Overall Acceptance Rate 355 of 1,733 submissions, 20%

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    UIST '25
    The 38th Annual ACM Symposium on User Interface Software and Technology
    September 28 - October 1, 2025
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    • (2023)Interactive Occlusion-Free System for Accessible Volume ExplorationIEEE Access10.1109/ACCESS.2023.330156711(86544-86560)Online publication date: 2023

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