2004 VISUALIZATION CHALLENGE: Informational Graphics

Statistical Graphics and Visualization

Parallel graphics and visualization

Computer graphics and visualization are very active fields of Computer Science, continuously producing new and exciting results. However, the demand for increasingly faster feedback together with the huge volume of data usually associated with these applications, result on growing computational requirements. An efficient utilization of a multiplicity of computational and visualization resources...

Volume Visualization and Volume Graphics

Volume visualization is a method of extracting meaningful information from volumetric data using interactive graphics and imaging. It is concerned with volume data representation, modeling, manipulation, and rendering [36][137][138][227]. Volume data are 3D (possibly time-varying) entities that may have information inside them, might not consist of tangible surfaces and edges, or might be too v...

Metadata visualization and browse graphics

Metadata that describe characteristics of geographic datasets are used for discovering potential datasets and evaluating their suitability for intended purposes (Guptil 1999, Taylor 2004). Discovery is based on search functions relying on metadata about thematic, spatial, and temporal extents of datasets (Beard and Sharma, 1997) and well developed in directories, clearing houses, and digital li...

Saliency - Guided Graphics and Visualization

Title of dissertation: SALIENCY-GUIDED GRAPHICS AND VISUALIZATION Youngmin Kim, Doctor of Philosophy, 2008 Dissertation directed by: Professor Amitabh Varshney Department of Computer Science In this dissertation, we show how we can use principles of saliency to enhance depiction, manage visual attention, and increase interactivity for 3D graphics and visualization. Current mesh saliency approac...