Results 1 - 10
of
10
Tuner: Principled parameter finding for image segmentation algorithms using visual response surface exploration
- IEEE Transactions on Visualization and Computer Graphics
, 2011
"... Abstract—In this paper we address the difficult problem of parameter-finding in image segmentation. We replace a tedious manual process that is often based on guess-work and luck by a principled approach that systematically explores the parameter space. Our core idea is the following two-stage techn ..."
Abstract
-
Cited by 22 (6 self)
- Add to MetaCart
(Show Context)
Abstract—In this paper we address the difficult problem of parameter-finding in image segmentation. We replace a tedious manual process that is often based on guess-work and luck by a principled approach that systematically explores the parameter space. Our core idea is the following two-stage technique: We start with a sparse sampling of the parameter space and apply a statistical model to estimate the response of the segmentation algorithm. The statistical model incorporates a model of uncertainty of the estimation which we use in conjunction with the actual estimate in (visually) guiding the user towards areas that need refinement by placing additional sample points. In the second stage the user navigates through the parameter space in order to determine areas where the response value (goodness of segmentation) is high. In our exploration we rely on existing ground-truth images in order to evaluate the ”goodness ” of an image segmentation technique. We evaluate its usefulness by demonstrating this technique on two image segmentation algorithms: a three parameter model to detect microtubules in electron tomograms and an eight parameter model to identify functional regions in dynamic Positron Emission Tomography scans. Index Terms—Parameter exploration, Image segmentation, Gaussian Process Model. 1
Evaluating the efficiency of physical visualizations
- In Proc. CHI’13
, 2013
"... company, 1935); b) data sculpture showing a world map of GDP (wooden base) and derivatives volume (wireframe) (Andreas Nicolas Fischer, 2008); c) 3D bar charts depicting the evolution of country indicators over time built specifically for our study. Data sculptures are an increasingly popular form o ..."
Abstract
-
Cited by 15 (5 self)
- Add to MetaCart
(Show Context)
company, 1935); b) data sculpture showing a world map of GDP (wooden base) and derivatives volume (wireframe) (Andreas Nicolas Fischer, 2008); c) 3D bar charts depicting the evolution of country indicators over time built specifically for our study. Data sculptures are an increasingly popular form of physical visualization whose purposes are essentially artistic, communicative or educational. But can physical visualizations help carry out actual information visualization tasks? We present the first infovis study comparing physical to on-screen visualizations. We focus on 3D visualizations, as these are common among physical visualizations but known to be problematic on computers. Taking 3D bar charts as an example, we show that moving visualizations to the physical world can improve users ’ efficiency at information retrieval tasks. In contrast, augmenting on-screen visualizations with stereoscopic rendering alone or with prop-based manipulation was of limited help. The efficiency of physical visualizations seems to stem from features that are unique to physical objects, such as their ability to be touched and their perfect visual realism. These findings provide empirical motivation for current research on fast digital fabrication and self-reconfiguring interfaces. Author Keywords Physical visualization; evaluation; 3D visualization.
Birdvis: Visualizing and understanding bird populations
- IEEE Transactions on Visualization and Computer Graphics
"... Fig. 1. Tag cloud lenses in BirdVis are used as a tool to explore and understand relative habitat preferences suggested by a species distribution model over space, time, and across species. Here, we show occurrence maps for the Indigo Bunting. The lenses cover ..."
Abstract
-
Cited by 8 (1 self)
- Add to MetaCart
(Show Context)
Fig. 1. Tag cloud lenses in BirdVis are used as a tool to explore and understand relative habitat preferences suggested by a species distribution model over space, time, and across species. Here, we show occurrence maps for the Indigo Bunting. The lenses cover
Learning Perceptual Kernels for Visualization Design
"... Abstract—Visualization design can benefit from careful consideration of perception, as different assignments of visual encoding variables such as color, shape and size affect how viewers interpret data. In this work, we introduce perceptual kernels: distance ma-trices derived from aggregate perceptu ..."
Abstract
-
Cited by 2 (0 self)
- Add to MetaCart
(Show Context)
Abstract—Visualization design can benefit from careful consideration of perception, as different assignments of visual encoding variables such as color, shape and size affect how viewers interpret data. In this work, we introduce perceptual kernels: distance ma-trices derived from aggregate perceptual judgments. Perceptual kernels represent perceptual differences between and within visual variables in a reusable form that is directly applicable to visualization evaluation and automated design. We report results from crowd-sourced experiments to estimate kernels for color, shape, size and combinations thereof. We analyze kernels estimated using five different judgment types — including Likert ratings among pairs, ordinal triplet comparisons, and manual spatial arrangement—and compare them to existing perceptual models. We derive recommendations for collecting perceptual similarities, and then demonstrate how the resulting kernels can be applied to automate visualization design decisions.
Scale-Stack Bar Charts
"... The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding th ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
(Show Context)
The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
Vismon: Facilitating Risk Assessment and Decision Making In Fisheries Management
"... Fisheries management involves the regulation of fishing to balance the interests of groups of people who want to catch fish now, and the goal of sustaining viable fish populations for the future. Policy makers make these regulatory decisions ..."
Abstract
- Add to MetaCart
(Show Context)
Fisheries management involves the regulation of fishing to balance the interests of groups of people who want to catch fish now, and the goal of sustaining viable fish populations for the future. Policy makers make these regulatory decisions
Vismon: Facilitating Analysis of Trade-Offs, Uncertainty, and Sensitivity In Fisheries Management Decision Making
"... In this design study, we present an analysis and abstraction of the data and task in the domain of fisheries management, and the design and implementation of the Vismon tool to address the identified requirements. Vismon was designed to support sophisticated data analysis of simulation results by ma ..."
Abstract
- Add to MetaCart
(Show Context)
In this design study, we present an analysis and abstraction of the data and task in the domain of fisheries management, and the design and implementation of the Vismon tool to address the identified requirements. Vismon was designed to support sophisticated data analysis of simulation results by managers who are highly knowledgeable about the fisheries domain but not experts in simulation software and statistical data analysis. The previous workflow required the scientists who built the models to spearhead the analysis process. The features of Vismon include sensitivity analysis, comprehensive and global trade-offs analysis, and a staged approach to the visualization of the uncertainty of the underlying simulation model. The tool was iteratively refined through a multi-year engagement with fisheries scientists with a two-phase approach, where an initial diverging experimentation phase to test many alternatives was followed by a converging phase where the set of multiple linked views that proved effective were integrated together in a useable way. Several fisheries scientists have used Vismon to communicate with policy makers, and it is scheduled for deployment to policy makers in Alaska.
Order of Magnitude Markers: An Empirical Study on Large Magnitude Number Detection
"... 380642 1 ..."
(Show Context)
A Moving Least Squares Based Approach for Contour Visualization of Multi-Dimensional Data
"... Fig. 1. Traditional projection techniques can yield overplot and lose context of the original data dimensions (a). By relaxing localized placement, dense points can be seperated, while preserving neighborhoods. Then, the background space can be used to convey a data dimension (b). Gradients between ..."
Abstract
- Add to MetaCart
(Show Context)
Fig. 1. Traditional projection techniques can yield overplot and lose context of the original data dimensions (a). By relaxing localized placement, dense points can be seperated, while preserving neighborhoods. Then, the background space can be used to convey a data dimension (b). Gradients between the isocontours can provide further visual context of the precise value of points (c). Abstract — Analysis of high dimensional data is a common task. Often, small multiples are used to visualize 1 or 2 dimensions at a time, such as in a scatterplot matrix. Associating data points between different views can be difficult though, as the points are not fixed. Other times, dimensional reduction techniques are employed to summarize the whole dataset in one image, but individual dimensions are lost in this view. In this paper, we present a means of augmenting a dimensional reduction plot with isocontours to reintroduce the original dimensions. By applying this to each dimension in the original data, we create multiple views where the points are consistent, which facilitates their comparison. Our approach employs a combination of a novel, graph-based projection technique with a GPU accelerated implementation of moving least squares to interpolate space between the points. We also present evaluations of this approach both with a case study and with a user study.
