Information Theory-Based Automatic Multimodal Transfer Function Design

Information-based Transfer Functions for Multimodal Visualization

Transfer functions are an essential part of volume visualization. In multimodal visualization at least two values exist at every sample point. Additionally, other parameters, such as gradient magnitude, are often retrieved for each sample point. To find a good transfer function for this high number of parameters is challenging because of the complexity of this task. In this paper we present a g...

Stroke-Based Transfer Function Design

In this paper we propose a user interface for the design of 1D transfer functions. The user can select a feature of interest by drawing one or more strokes directly onto the volume rendering near its silhouette. Based on the stroke(s), our algorithm performs a histogram analysis in order to identify the desired feature in histogram space. Once the feature of interest has been identified, we aut...

Automatic Design of Multimodal Resentations

We describe our attempt to integrate multiple AI components such as planning, knowledge representation, natural language generation, and graphics generation into a functioning prototype called WIP that plans and coordinates multimodal presentations in which all material is generated by the system. WIP allows the generation of alternate presentations of the same content taking into account vario...

INFORMATION MAPPING IN PRACTICE Rule-based multimodal interface design

The design of a user interface can be considered an information mapping task. The task consists in mapping (a) information from the task domain of the artefact being designed as well as other relevant constraints on the design process, onto (b) a set of input/output modalities which, when fully specified, will constitute the user interface of the artefact. Interface designers thus essentially s...

Automatic tuning of PID controllers based on transfer function estimation