The increasing adoption of video surveillance makes it possible to watch over sensitive areas and identify people responsible for damage, theft and violence. However, when such events are not detected immediately, the subsequent video analysis can be a long and tedious task. In this article is presented a technique that allows a human investigator to focus only on those parts of a video showing the event as it unfolds, and so helping to save on the time needed to identify and understand how it happened. The presented technique creates a single interactive image of the whole video that shows everything that happened in the scene.

The research focusses on methods and techniques to integrate data from different sources and dimensions (2D, 3D, Time). The data are offered via a variety of map representations in multi-functional visual (online) environments that allow exploration and data analysis. To justify the solutions produced, usability research is an integral part of the activities.

Geographic data is characterized by a locational, attribute and temporal component. The time component can be a typical indicator of change of all sorts. For instance, movement data holds information about where the movement took place (the path), what was moving (the object), and especially when it was moving (the time frame). Examples are travel time between cities, the daily trips of commuters, or the possible average speed along a path etc.

The field of visual analytics has opened new directions for smart data analysis and knowledge discovery. Utilizing rich and novel visualization methods and appropriate interaction mechanisms, visual analytics technologies exploit the perceptual abilities and intuition of humans, capacities that have not been matched by machines yet. CERTH / ITI has an active interest in the field of visual analytics and is investing effort into developing relevant technologies.This article presents some of the the current research conducted in CERTH / ITI in the field of visual analytics.

Today’s digital libraries and data centers store huge amounts of data, collected, for example, by scientific experimentation, earth observation, or simulation. The common approach to support user navigation and retrieval in these libraries operates on meta-information that is manually appended to the datasets.

Especially for large datasets, this approach quickly reaches its limits due to scalability with respect to manual annotation.

Infrared images or so-called thermal images are increasingly available. Usually the data is acquired and stored, but a thorough interpretation and presentation of the data is done insufficiently. Within ongoing research at the TUM/LfK we deal with the innovative representation of thermal building information.

These include coating steps, rectangular shapes or homogeneous network structures in a three-dimensional environment. Adapted methods concerning the cartographic representations are applied and modified to fit the specific requirements.

Exploring video data by simply watching does not scale for large databases.This problem arises in a wide variety of domains, such as scientificvideo analysis, digital life streams, and video surveillance.

Motivated by a mini challenge of the contest of the IEEE Symposium on Visual Analytics Science and Technology 2009 (Detecting the encounter of persons in a provided video stream utilizing the techniques of visual analytics), we propose an approach for fast identification of relevant objects based on the properties of their trajectories.

Software maintenance is the most expensive part of the entire software lifecycle. Studies over 20 years in a variety of branches of the software industry indicate that maintenance costs over 80% of the effort invested in the entire lifecycle of a software product. From this, around 40% is dedicated to software understanding.

We have worked over several years in close contact with IT professionals in various branches: software developers, architects, consultants, and producers of software analysis tools.

Understanding the brain, its function and malfunction, is one of the most important and urgent targets of modern science.

Using the most sophisticated technologies neuroscientists now perform experiments ranging from studies on the genome to brain imaging under different conditions. This results in very large quantities of heterogeneous data, which are produced at ever increasing rates.

Of the machine components that are part of visual analytics, human-computer interaction, and visualization, the display has one of the largest effects.

The display determines the physical size of the viewport, the range of effective field-of-view and resolution that is possible, and the types of feasible interaction modalities. All other interactions must be placed in the context of the display. If you have ever seen a movie on a large screen TV, then you have been surely impressed with the captivating display that makes the viewing innately attractive.

The large and ever-increasing amounts of time-varying and geospatial digital weather information related to emergency scenarios that must be accessible to the public represent a major research challenge.

A need to analyze and make decisions, often in time-critical situations, demand interactive web-enabled visualization tools that can aid the user to explore, communicate and publish visually large geo-information spaces. In this context, we introduce a web-enabled application for road weather visualization, a tool for analyzing and communicating information about road weather conditions particularly during the Swedish winter months.