The visualization techniques used in current software visualization frameworks make use of a limited set of graphical elements to highlight relevant aspects of a software system. Typical examples of such elements are text, simple geometric shapes and uniform color fills. Although human visual perception enables rapid processing of additional visual cues like shading and texture, they are not us...

To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readable right away a...

We observe a constant growth of methods and models enabling automated generation of graphical data, derived either from physical world or taken from simulations. Good information design is crucial for humancomputer interface, improving productivity and enhancing human understanding. This paper proposes two novel algorithms to simulate the visual assessment of deployment of GUI elements. GUI ele...

The performance of automatic speech recognition (ASR) system can be significantly enhanced with additional information from visual speech elements such as the movement of lips, tongue, and teeth, especially under noisy environment. In this paper, a novel approach for recognition of visual speech elements is presented. The approach makes use of adaptive boosting (AdaBoost) and hidden Markov mode...

Ontologies are one of the core foundations of the Semantic Web. To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, the users first need to learn the visual notation before they can interpret it correctly. Contr...

The ability of individuals with mental retardation to focus on task-relevant elements of complex visual arrays and increase visual-search efficiency was investigated. Initial assessments of visual-search efficiency were conducted to identify pairs of features for the form and size dimensions for which each participant demonstrated serial search. Subsequently, color was added as a defining featu...

Recent studies have used fMRI signals from early visual areas to reconstruct simple geometric patterns. Here, we demonstrate a new Bayesian decoder that uses fMRI signals from early and anterior visual areas to reconstruct complex natural images. Our decoder combines three elements: a structural encoding model that characterizes responses in early visual areas, a semantic encoding model that ch...

We present Glidgets, a combined direct manipulation and visualization technique for exploring and querying changes of elements in dynamic graphs. Traditional approaches provide an indirect time slider and employ visual cues such as global change highlighting. Our work merges temporal navigation and the visual representation of graph dynamics into interactive visual glyphs on nodes and edges. Ou...

To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readable right away a...

A critical step in visual perceptual processing is integrating local visual elements into contours so that shapes can be derived from them. It is often assumed that contour integration may reflect hardwired coding of low-level visual features. In this study, we present novel evidence indicating that integration of local elements into contours can be learned subliminally, despite being irrelevan...