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The text-to-scene conversion is such a process that converts the input text into 3D scenes automatically based on the natural language processing. The scene layout is the basic research content and the key section of the text-to-scene conversion. It realizes the automatic layout through identifying the information about scene layout from the input text and relying on a large database of 3D models...
Popular in the nineties, 3D visualization has since garnered much criticisms. While historically the vast majority of 3D visualization evaluations have been based on the classical Brunelleschi's perspective rendering, today new questions are raised with the recent access to high quality stereoscopic representations. Do these new interfaces offer improvements over the traditional 3D counterparts? This...
Understanding the performance of program execution is essential when optimizing simulations run on high-performance supercomputers. Instrumenting and profiling codes is itself a difficult task and interpreting the resulting complex data is often facilitated through visualization of the gathered measures. However, these measures typically ignore spatial information specific to a simulation, which may...
Torus networks are widely used in supercomputing. However, due to their complex topology and their large number of nodes, it is difficult for analysts to perceive the messages flow in these networks. We propose a visualization framework called TorusVisND that uses modern information visualization techniques to allow analysts to see the network and its communication patterns in a single display and...
Web applications have become the most popular type of software in the past decade, attracting the attention of both the academia and the industry. In parallel with their popularity, the complexity of aesthetics and functionality of web applications have also increased significantly, creating a big challenge for maintenance and cross-browser compliance testing. Since such testing and verification activities...
This paper presents a new work-in-progress tool, WOKE, to capture and present the workflow model in a novel way. A workflow model consists of linked steps to describe how actual work is done in a company and usually used for analysis and simulation. The complexity of modern System-on-Chip designs motivates applying such enterprise oriented models to the embedded design process domain as well. For...
This paper is focused on using computer timeline based interfaces in the domain of history learning. The paper explains what kind of problems do historians and learners face when they deal with chronologically ordered historical information. We review existing approaches and software tools that support timelines. Based on the timeline metaphor ontological model, we examine major features of existing...
Aiming at reducing the labour intensity associated with the acquisition of ground truth annotations for object instance recognition datasets, this paper discusses a novel multi-view recognition method to automate the annotation (object instances and associated poses) of individual images in multi-view RGB-D datasets. In combination with recent single-view object recognition techniques, the supplementary...
Comics are popular almost throughout the world. With the help of comic document digitization, it is much easier for people to archive and browse comic works. However, there are still some big challenges along with comic document digitization progress. Among these challenges, comic content adaptation is an important one to be tackled. The existing works only focus on parts of this problem and do not...
Graphs are commonly used to visually represent software dependencies. However, adequately visualizing software dependencies as a graph is a non-trivial problem due to the pluridimentional nature of software. We have designed a domain-specific language for visualizing software dependencies as graphs that is both expressive and concise. GRAPH, the implementation of our DSL, features a seamless mapping...
System maintainers face several challenges stemming from a system and its library dependencies evolving separately. Novice maintainers may lack the historical knowledge required to efficiently manage an inherited system. While some libraries are regularly updated, some systems keep a dependency on older versions. On the other hand, maintainers may be unaware that other systems have settled on a different...
One of the important direction of research in situational awareness is implementation of visual analytics techniques which can be efficiently applied when working with big security data in critical operational domains. The paper considers a visual analytics technique for displaying a set of security metrics used to assess overall network security status and evaluate the efficiency of protection mechanisms...
Architects and developers are often tasked with evaluating or maintaining unfamiliar software systems. Reverse engineering tools help extract relationships between the system parts as they exist instead of as documented. Though node-link diagrams have a straightforward correspondence with the graph-represent able data generated, the scale and complexity of real-world data sets prevent efficient comprehension...
Literacy rates of visually impaired people in modern development country are being concerned nowadays. Early education for children with visual impairments is said to be one of the factors. Learning Braille is no longer a boring lesson to visually impaired children. This paper mediated a new pathway to interlink and translates inputs from keyboard into the most used Braille character automatically...
In this paper, we propose a simultaneous textured object recognition and localization approach designed to real-time mobile devices applications. Local interest points are extracted and classified with the help of a strong matching algorithm. The matching procedure is based on a strict verification of the spatial layout consistency of the considered interest points. The proposed approach is well suited...
The cyber-physical directory is proposed previously to enhance the effectiveness of current digital directories, which used the tag-cloud representation to make relevant information obviously bigger to users due to their interests. Such customized visualizations can speed up the information search for user social activities at a location. Unfortunately, such visualization poorly utilizes the total...
Causal inference from observational data rely on similar treatment and control groups to isolate for variation, in addition to adjustments in estimates to account for the remaining uncontrollable variation. Propensity score matching and statistical inference are established tools to achieve for these two requirements respectively. Network structures in the underlying data of the experiment challenge...
The paper presents human-computer interaction model developed with the use of user's affective state. The model can be used within virtual and augmented reality systems. The application for complex networks analysis based on the proposed model and BigData concept is described. The application provides the user with the ability to perform visual analysis of complex network within virtual environment...
Graphs are often used to visualize relations between entities. Based on edges or vertices count, visualization of dense graphs can be problematic and create cluttered graphs. Many visualization methods exist to reduce visual clutter in graphs, from graph clustering or partitioning, edge bundling, filtering, by using specific layouts, lenses, colors or transparency or 3D visualizations. We present...
A fully visual approach for business documents classification is presented. The paper describes how SURF visual features, extracted from the documents, can be usefully used for business document recognition and their classification. Some of the extracted features are used to compute a prototype aiming at speed up the comparison of a document class while obtaining the best recognition rate. Moreover,...
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