Showing papers in "Visual Informatics in 2017"

TL;DR: In this article, the authors classify the relevant work into three categories: understanding, diagnosis, and refinement, exemplified by recent influential work. And they present a comprehensive analysis and interpretation of this rapidly developing area.

TL;DR: In this paper, the authors present recent advances in this field of transient imaging from a graphics and vision perspective, including capture techniques, analysis, applications and simulation, as well as a comprehensive overview of the current state of the art.

TL;DR: A visual analytics system, VISTopic, to help users make sense of large document collections based on topic modeling, which first extracts a set of hierarchical topics using a novel hierarchical latent tree model (HLTM) (Liu et al., 2014).

TL;DR: The efforts and research results to meet the requirements for modeling, rendering, and animating clouds realistically, together with related researches on the visual simulation of clouds are explained.

TL;DR: An theoretical model to characterize the visualizations in immersive urban analytics is proposed and a typology of combination methods of 2D and 3D visualizations that distinguish between linked views, embedded views, and mixed views is contributed.

TL;DR: A method to generate interior voids which not only satisfy the functional purposes but are also support-free during the 3D printing process is proposed and asupport-free unit structure for voxelization is introduced and the wall thicknesses parametrization is derived for continuous optimization.

TL;DR: It is found that participants’ attention is biased: toward the center of the whole plot for parallel coordinates and skewed to the center/left side for Cartesian coordinates, which may support the design of more effective visualizations for multidimensional data.

TL;DR: The concept of time mask, which is a type of temporal filter suitable for selection of multiple disjoint time intervals in which some query conditions fulfil, is introduced and the utility of the time mask filtering is demonstrated.

TL;DR: This paper presents an interactive visual analytics design for understanding and utilizing data collected from tracking human’s movements, identifies and visually presents frequent human movement rhythms to support interactive exploration and analysis of the data over space and time.

TL;DR: A novel spatio-temporal flow map layout to visualize when and where people from different locations move into the same places and make contact is proposed and integrated into existing spatiotemporal visualization techniques to form a suite of techniques for visualizing the movement and contact patterns.

TL;DR: An integrated approach for real-time performance prediction of volume raycasting that allows to reliably meet performance requirements such as a user-defined frame rate, even in the case of sudden large changes to the transfer function or the camera orientation.

TL;DR: A new sampling strategy, called Warp Marching, is presented for the ray-casting algorithm of texture-based volume rendering, and it outperforms existing empty space skipping techniques in scenarios that need to render large dynamic volumes in a low resolution image.

TL;DR: The obtained results show that number of columns and scroll speed do affect search performance, and the user’s gaze tends to focus on different screen areas depending on the values of these two parameters.