Exploring entities in text with descriptive non-photorealistic rendering

Chang, Meng-Wei; Collins, Christopher

doi:10.1109/pacificvis.2013.6596122

Cited by 7 publications

(7 citation statements)

References 44 publications

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“…On the other hand, Asokarajan et al [5] use the zooming along the x axis to examine the view closely and do not provide a level of abstraction based on the zooming. There are other approaches that utilize interactive lenses [18], [66]. We believe that magic lens and interactive magnification techniques that allow the user to obtain a close picture of the interested area could be useful.…”

Section: Smooth Zooming Of Translationsmentioning

confidence: 99%

TransVis: Integrated Distant and Close Reading of Othello Translations

Alharbi

Cheesman

Laramee

2022

IEEE Trans. Visual. Comput. Graphics

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Studying variation among time-evolved translations is a valuable research area for cultural heritage. Understanding how and why translations vary reveals cultural, ideological, and even political influences on literature as well as author relations. In this paper, we introduce a novel integrated visual application to support distant and close reading of a collection of Othello translations. We present a new interactive application that provides an alignment overview of all the translations and their correspondences in parallel with smooth zooming and panning capability to integrate distant and close reading within the same view. We provide a range of filtering and selection options to customize the alignment overview as well as focus on specific subsets. Selection and filtering are responsive to expert user preferences and update the analytical text metrics interactively. Also, we introduce a customized view for close reading which preserves the history of selections and the alignment overview state and enables backtracing and reexamining them. Finally, we present a new Term-Level Comparisons view (TLC) to compare and convey relative term weighting in the context of an alignment. Our visual design is guided by, used and evaluated by a domain expert specialist in German translations of Shakespeare.

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Section: Smooth Zooming Of Translationsmentioning

confidence: 99%

TransVis: Integrated Distant and Close Reading of Othello Translations

Alharbi

Cheesman

Laramee

2022

IEEE Trans. Visual. Comput. Graphics

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“…Analysis of text typically focuses on important topics or themes and querying relevant keywords. A particularly interesting application of a lens for exploring text databases is the approach by Chang and Collins [CC13]. What makes their lens special is the fact that they combine spatial and abstract semantics (c) Magic Volume Lens [WZMK05] for volume data; (d) Magic lens for flow data [FG98]; (e) Sampling Lens [EBD05,ED06b,ED06a] for multi-dimensional data; (f) PushLens [SNDC10] for graph data; (g) Lens widget for querying document data [CC13].…”

Section: Graph Datamentioning

confidence: 99%

“…Lenses for different data types. (a) ChronoLenses [ZCPB11] for temporal data; (b) Detail Lenses [KCJ*10] for geospatial data; (c) Magic Volume Lens [WZMK05] for volume data; (d) Magic lens for flow data [FG98]; (e) Sampling Lens [EBD05, ED06b, ED06a] for multi‐dimensional data; (f) PushLens [SNDC10] for graph data; (g) Lens widget for querying document data [CC13].…”

Section: Data Tasks and Lensesmentioning

confidence: 99%

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Interactive Lenses for Visualization: An Extended Survey

Tominski

Gladisch

Kister

et al. 2016

Computer Graphics Forum

104

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The elegance of using virtual interactive lenses to provide alternative visual representations for selected regions of interest is highly valued, especially in the realm of visualization. Today, more than 50 lens techniques are known in the closer context of visualization, far more in related fields. In this paper, we extend our previous survey on interactive lenses for visualization. We propose a definition and a conceptual model of lenses as extensions of the classic visualization pipeline. An extensive review of the literature covers lens techniques for different types of data and different user tasks and also includes the technologies employed to display lenses and to interact with them. We introduce a taxonomy of lenses for visualization and illustrate its utility by dissecting in detail a multi-touch lens for exploring large graph layouts. As a conclusion of our review, we identify challenges and unsolved problems to be addressed in future research.

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“…Similarly, the GRACE application [MMH*13] combines 3D spatial brain data with abstract functionality data, but does not consider 2D projections of the 3D data. Chang and Collins [CC13] augment 3D views with 2D views containing summaries of vehicle damage from highway reports, but they do not consider the resulting vehicle functionality from that damage. Design studies on in‐car communication networks [SBH*09, SFMB12] also combine 2D abstract views with 3D spatial views, though they do not apply to the problem of vulnerability analysis.…”

Section: Related Workmentioning

confidence: 99%

A Shot at Visual Vulnerability Analysis

Kerzner

Butler

Hansen

et al. 2015

Computer Graphics Forum

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Figure 1: We present Shotviewer, software that supports visual analysis of spatial and nonspatial ballistic simulation data for vulnerability analysis. It consists of three linked views: a) the Shotline View displays an abstract representation of shots' paths through a vehicle; b) the Geometry View shows shots' 3D spatial context; and c) the System View visualizes the propagation of damage through a vehicle's systems. In this example, the green shot damages the vehicle's radio which impacts the vehicle's mobility and firepower capabilities. AbstractIncreasing the safety of vehicles is an important goal for vehicle manufacturers. These manufacturers often turn to simulations to understand how to improve a vehicle's design as real-world safety tests are expensive and time consuming. Understanding the results of these simulations, however, is challenging due to the complexity of the data, which often includes both spatial and nonspatial data types. In this design study we collaborated with analysts who are trying to understand the vulnerability of military vehicles. From this design study we contribute a problem characterization, data abstraction, and task analysis for vehicle vulnerability analysis, as well as a validated and deployed tool called Shotviewer. Shotviewer links 3D spatial views with abstract 2D views to support a broad range of analysis needs. Furthermore, reflection on our design study process elucidates a strategy of viewdesign parallelism for creating multiview visualizations, as well as four recommendations for conducting design studies in large organizations with sensitive data.

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Exploring entities in text with descriptive non-photorealistic rendering

Cited by 7 publications

References 44 publications

TransVis: Integrated Distant and Close Reading of Othello Translations

TransVis: Integrated Distant and Close Reading of Othello Translations

Interactive Lenses for Visualization: An Extended Survey

A Shot at Visual Vulnerability Analysis

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