Semantics by analogy for illustrative volume visualization☆

We present an interactive graphical approach for the explicit specification of semantics for volume visualization. This explicit and graphical specification of semantics for volumetric features allows us to visually assign meaning to both input and output parameters of the visualization mapping. This is in contrast to the implicit way of specifying semantics using transfer functions. In particular, we demonstrate how to realize a dynamic specification of semantics which allows to flexibly explore a wide range of mappings. Our approach is based on three concepts. First, we use semantic shader augmentation to automatically add rule-based rendering functionality to static visualization mappings in a shader program, while preserving the visual abstraction that the initial shader encodes. With this technique we extend recent developments that define a mapping between data attributes and visual attributes with rules, which are evaluated using fuzzy logic. Second, we let users define the semantics by analogy through brushing on renderings of the data attributes of interest. Third, the rules are specified graphically in an interface that provides visual clues for potential modifications. Together, the presented methods offer a high degree of freedom in the specification and exploration of rule-based mappings and avoid the limitations of a linguistic rule formulation.

[1]  Ivan Viola,et al.  Visual Abstractions and Interaction Metaphors for Knowledge Assisted Volume Visualization , 2008 .

[2]  Christof Rezk-Salama,et al.  High-Level User Interfaces for Transfer Function Design with Semantics , 2006, IEEE Transactions on Visualization and Computer Graphics.

[3]  Kwan-Liu Ma,et al.  Lighting transfer functions using gradient aligned sampling , 2004, IEEE Visualization 2004.

[4]  Richard Sproat,et al.  WordsEye: an automatic text-to-scene conversion system , 2001, SIGGRAPH.

[5]  Paul A. Beardsley,et al.  Design galleries: a general approach to setting parameters for computer graphics and animation , 1997, SIGGRAPH.

[6]  Joe Michael Kniss,et al.  Multidimensional Transfer Functions for Interactive Volume Rendering , 2002, IEEE Trans. Vis. Comput. Graph..

[7]  Ivan Viola,et al.  Illustrative visualization: new technology or useless tautology? , 2008, COMG.

[8]  Steven K. Feiner,et al.  Automated generation of intent-based 3D Illustrations , 1991, SIGGRAPH.

[9]  Thomas Ertl,et al.  Dynamic Shader Generation for GPU-Based Multi-Volume Ray Casting , 2008, IEEE Computer Graphics and Applications.

[10]  Stefan Bruckner,et al.  TECHNICAL REPORT VolumeShop: An Interactive System for Direct Volume , 2022 .

[11]  Stefan Bruckner,et al.  Illustrative Context-Preserving Exploration of Volume Data , 2006, IEEE Transactions on Visualization and Computer Graphics.

[12]  M. Sheelagh T. Carpendale,et al.  Evaluating Information Visualizations , 2008, Information Visualization.

[13]  Hans-Christian Hege,et al.  Visual Exploration of Nasal Airflow , 2009, IEEE Transactions on Visualization and Computer Graphics.

[14]  David S. Ebert,et al.  Illustration motifs for effective medical volume illustration , 2005, IEEE Computer Graphics and Applications.

[15]  Kazufumi Kaneda,et al.  Advanced Rendering Techniques , 2004 .

[16]  Stefan Bruckner,et al.  Eurographics/ Ieee-vgtc Symposium on Visualization 2008 Interaction-dependent Semantics for Illustrative Volume Rendering , 2022 .

[17]  Kwan-Liu Ma,et al.  An intelligent system approach to higher-dimensional classification of volume data , 2005, IEEE Transactions on Visualization and Computer Graphics.

[18]  John Shalf,et al.  Query-driven visualization of large data sets , 2005, VIS 05. IEEE Visualization, 2005..

[19]  Chris North,et al.  Information Visualization , 2008, Lecture Notes in Computer Science.

[20]  Eduard Gröller,et al.  Two-Level Volume Rendering , 2001, IEEE Trans. Vis. Comput. Graph..

[21]  Stefan Bruckner,et al.  Semantic Layers for Illustrative Volume Rendering , 2007, IEEE Transactions on Visualization and Computer Graphics.

[22]  James P. Ahrens,et al.  Scout: a hardware-accelerated system for quantitatively driven visualization and analysis , 2004, IEEE Visualization 2004.

[23]  Ben Shneiderman,et al.  Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies , 2006, BELIV '06.

[24]  Carl-Fredrik Westin,et al.  Tissue Classification Based on 3D Local Intensity Structures for Volume Rendering , 2000, IEEE Trans. Vis. Comput. Graph..

[25]  William Buxton,et al.  Usability evaluation considered harmful (some of the time) , 2008, CHI.