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><channel><title>VisMaster &#187; Featured Articles</title> <atom:link href="http://www.vismaster.eu/news/category/featured-articles/feed/" rel="self" type="application/rss+xml" /><link>http://www.vismaster.eu</link> <description>Visual Analytics - Mastering the Information Age</description> <lastBuildDate>Wed, 08 Sep 2010 09:09:10 +0000</lastBuildDate> <language>en</language> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <generator>http://wordpress.org/?v=3.0.1</generator> <item><title>Making Hurricane Track Data Accessible</title><link>http://www.vismaster.eu/news/acesshurricanetrackdata/</link> <comments>http://www.vismaster.eu/news/acesshurricanetrackdata/#comments</comments> <pubDate>Wed, 08 Sep 2010 08:20:55 +0000</pubDate> <dc:creator>Dr. Aidan Slingsby</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[hurricane]]></category> <category><![CDATA[interactive visualization]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=1337</guid> <description><![CDATA[We worked with climate scientists at NCAS-Climate (University of Reading, UK) who produce large datasets of simulated storm tracks from General Circulation Models that span many decade, and need to analyse them. We collaboratively designed and implemented interactive visualisation techniques that have opened up their database, enabling storm tracks to be browsed in their spatial and temporal context, and for specific examples to be captured as Quicktime video clips. The purpose of generating these storm tracks was to better understand the spatial and temporal distribution of storms, particularly for extreme events.]]></description> <wfw:commentRss>http://www.vismaster.eu/news/acesshurricanetrackdata/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <enclosure
url="http://www.gicentre.org/stormtracks/discovery2010.mov" length="13472533" type="video/quicktime" /> </item> <item><title>Interactive Visual Analysis across an Interface</title><link>http://www.vismaster.eu/news/interactiveva/</link> <comments>http://www.vismaster.eu/news/interactiveva/#comments</comments> <pubDate>Wed, 01 Sep 2010 14:46:46 +0000</pubDate> <dc:creator>Dr. Helwig Hauser</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[interactive visualization]]></category> <category><![CDATA[interface]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=1286</guid> <description><![CDATA[In a recent paper (soon available from IEEE TVCG), we present a systematic approach to the interactive visual analysis of heterogeneous data.  The data consists of interrelated parts that are given on spatial grids over time (e.g., the atmosphere and ocean part from a coupled climate model).  By integrating both data parts in a framework [...]]]></description> <wfw:commentRss>http://www.vismaster.eu/news/interactiveva/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Improving Visual Analytics tools using data driven visualizations</title><link>http://www.vismaster.eu/news/improving-va/</link> <comments>http://www.vismaster.eu/news/improving-va/#comments</comments> <pubDate>Wed, 18 Aug 2010 12:37:37 +0000</pubDate> <dc:creator>Prof. Dr. Giuseppe Santucci</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[Improvement]]></category> <category><![CDATA[tools]]></category> <category><![CDATA[Visual Analytics]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=1241</guid> <description><![CDATA[One of the main Visual Analytics characteristics is the tight integration between automatic computation and interactive visualization. This generally corresponds to the availability of complex and powerful algorithms that allow for manipulating the data under analysis, transforming it in order to feed suitable visualizations. As an example, some Visual Analytics tools devoted to text analysis are based on the idea of extracting new data from the text (e.g., computing word frequencies or paragraph lengths) in order to produce  visualizations that are based on these new derived pieces of information.]]></description> <wfw:commentRss>http://www.vismaster.eu/news/improving-va/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>User testing to obtain consensus for discovering the terrorist</title><link>http://www.vismaster.eu/news/discovertheterrorist/</link> <comments>http://www.vismaster.eu/news/discovertheterrorist/#comments</comments> <pubDate>Sat, 31 Jul 2010 18:12:04 +0000</pubDate> <dc:creator>Dr. Paolo Buono</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[terrorist]]></category> <category><![CDATA[user testing]]></category> <category><![CDATA[Visual Analytics]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=1203</guid> <description><![CDATA[The adoption of Visual Analytics methodologies in security applications is an approach that could lead to interesting results. Usually, the data that has to be analyzed finds in a graphical representation its preferred nature, such as spatial or temporal relationships. Due to the nature of these applications, it is very important that key-details are made easy to identify. This article presents a visualization tool that graphically displays the movement of 82 employees of a department during an evacuation, of the building in which they were working, caused by an explosion of a bomb. Thirteen casual users were asked to identify potential suspects and observe what happened. ]]></description> <wfw:commentRss>http://www.vismaster.eu/news/discovertheterrorist/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Visual Analytics for All (University of Fribourg, Switzerland)</title><link>http://www.vismaster.eu/news/vaforall/</link> <comments>http://www.vismaster.eu/news/vaforall/#comments</comments> <pubDate>Fri, 25 Jun 2010 09:05:50 +0000</pubDate> <dc:creator>Prof. Dr. Denis Lalanne</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[Visual Analytics]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=1193</guid> <description><![CDATA[The overall goal of the Humanitics project, financed mainly by the Swiss National Science Foundation, is to develop visual analytics tools for public organizations to enhance collaborative knowledge discovery, information exchange and communication.It was initiated as a collaboration between the University of Fribourg and the United Nations in Geneva. Each year, the United Nation manipulates and reports numerous data and information concerning world-wide health, illicit drug trade, environment and global climate change, diseases, energy, conflict, and humanitarian development concerns. ]]></description> <wfw:commentRss>http://www.vismaster.eu/news/vaforall/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Video abstraction and anomalies detection for stationary cameras</title><link>http://www.vismaster.eu/news/videoabstraction/</link> <comments>http://www.vismaster.eu/news/videoabstraction/#comments</comments> <pubDate>Fri, 25 Jun 2010 08:33:51 +0000</pubDate> <dc:creator>Dr. Paolo Buono</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[Abstraction]]></category> <category><![CDATA[Anomalies]]></category> <category><![CDATA[Detection]]></category> <category><![CDATA[video]]></category> <category><![CDATA[Visual Analytics]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=1182</guid> <description><![CDATA[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. ]]></description> <wfw:commentRss>http://www.vismaster.eu/news/videoabstraction/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Visual analytics research at ITC</title><link>http://www.vismaster.eu/news/vaatitc/</link> <comments>http://www.vismaster.eu/news/vaatitc/#comments</comments> <pubDate>Fri, 11 Jun 2010 09:16:10 +0000</pubDate> <dc:creator>Prof. Dr. Menno-Jan Kraak</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[geovisualization]]></category> <category><![CDATA[iceberg movement]]></category> <category><![CDATA[ITC]]></category> <category><![CDATA[Visual Analytics]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=1161</guid> <description><![CDATA[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.]]></description> <wfw:commentRss>http://www.vismaster.eu/news/vaatitc/feed/</wfw:commentRss> <slash:comments>1</slash:comments> </item> <item><title>A visual analytic tool for multicriterial retrieval in large databases</title><link>http://www.vismaster.eu/news/multicriterial-retrieval-large-databases/</link> <comments>http://www.vismaster.eu/news/multicriterial-retrieval-large-databases/#comments</comments> <pubDate>Fri, 21 May 2010 08:46:41 +0000</pubDate> <dc:creator>Dr. Dimitrios Tzovaras</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[databases]]></category> <category><![CDATA[tool]]></category> <category><![CDATA[Visual Analytics]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=1118</guid> <description><![CDATA[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.]]></description> <wfw:commentRss>http://www.vismaster.eu/news/multicriterial-retrieval-large-databases/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Visual Search in Time-Oriented Research Data for Digital Libraries</title><link>http://www.vismaster.eu/news/visualizationdigitallibraries/</link> <comments>http://www.vismaster.eu/news/visualizationdigitallibraries/#comments</comments> <pubDate>Fri, 07 May 2010 15:11:03 +0000</pubDate> <dc:creator>Dr. Jörn Kohlhammer</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[Digital Libraries]]></category> <category><![CDATA[Research Data]]></category> <category><![CDATA[Time-Oriented Data]]></category> <category><![CDATA[visualization]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=1059</guid> <description><![CDATA[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. ]]></description> <wfw:commentRss>http://www.vismaster.eu/news/visualizationdigitallibraries/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Three-dimensional visualization of thermal information from facades</title><link>http://www.vismaster.eu/news/3dvotiff/</link> <comments>http://www.vismaster.eu/news/3dvotiff/#comments</comments> <pubDate>Mon, 26 Apr 2010 13:23:18 +0000</pubDate> <dc:creator>Dr. Jukka Krisp</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[architecture]]></category> <category><![CDATA[decision support]]></category> <category><![CDATA[thermal image]]></category> <category><![CDATA[three-dimensional visualization]]></category> <category><![CDATA[Visual Analytics]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=1003</guid> <description><![CDATA[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.]]></description> <wfw:commentRss>http://www.vismaster.eu/news/3dvotiff/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Video Visual Analytics of Tracked Moving Objects</title><link>http://www.vismaster.eu/news/vvaotmo/</link> <comments>http://www.vismaster.eu/news/vvaotmo/#comments</comments> <pubDate>Fri, 23 Apr 2010 10:55:15 +0000</pubDate> <dc:creator>Prof. Dr. Daniel Weiskopf</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[tracking]]></category> <category><![CDATA[video]]></category> <category><![CDATA[Visual Analytics]]></category> <category><![CDATA[visualization]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=987</guid> <description><![CDATA[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. ]]></description> <wfw:commentRss>http://www.vismaster.eu/news/vvaotmo/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Visual Analytics in Industrial Software Maintenance</title><link>http://www.vismaster.eu/news/vaiism/</link> <comments>http://www.vismaster.eu/news/vaiism/#comments</comments> <pubDate>Thu, 22 Apr 2010 15:23:37 +0000</pubDate> <dc:creator>Prof. Dr. Alexandru C. Telea</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[software analysis]]></category> <category><![CDATA[software maintenance]]></category> <category><![CDATA[software visualization]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=972</guid> <description><![CDATA[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.]]></description> <wfw:commentRss>http://www.vismaster.eu/news/vaiism/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Visual support for knowledge discovery in neuroscience: EEG coherence analysis of mental fatigue</title><link>http://www.vismaster.eu/news/visualsuportinneuroscience/</link> <comments>http://www.vismaster.eu/news/visualsuportinneuroscience/#comments</comments> <pubDate>Tue, 20 Apr 2010 08:52:30 +0000</pubDate> <dc:creator>Prof. Dr. Jos Roerdink</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[Biology]]></category> <category><![CDATA[neuroscience]]></category> <category><![CDATA[Visual Analytics]]></category> <category><![CDATA[Visual support]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=949</guid> <description><![CDATA[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.]]></description> <wfw:commentRss>http://www.vismaster.eu/news/visualsuportinneuroscience/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Improving the Usage of Large Display Environments</title><link>http://www.vismaster.eu/news/largedisplayenvironments/</link> <comments>http://www.vismaster.eu/news/largedisplayenvironments/#comments</comments> <pubDate>Wed, 14 Apr 2010 16:57:39 +0000</pubDate> <dc:creator>Prof. Dr. Achim Ebert</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[Display]]></category> <category><![CDATA[Environments]]></category> <category><![CDATA[Improving Usage]]></category> <category><![CDATA[Large]]></category> <category><![CDATA[visualization]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=931</guid> <description><![CDATA[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. ]]></description> <wfw:commentRss>http://www.vismaster.eu/news/largedisplayenvironments/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>RoadVis Demonstrator</title><link>http://www.vismaster.eu/news/roadvis/</link> <comments>http://www.vismaster.eu/news/roadvis/#comments</comments> <pubDate>Mon, 12 Apr 2010 14:28:57 +0000</pubDate> <dc:creator>VisMaster Team</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[Interactive Demos]]></category> <category><![CDATA[News]]></category> <category><![CDATA[Demo]]></category> <category><![CDATA[RoadVis]]></category> <category><![CDATA[Visual Analytics]]></category><guid
isPermaLink="false">http://www.vismaster.eu/?p=903</guid> <description><![CDATA[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.]]></description> <wfw:commentRss>http://www.vismaster.eu/news/roadvis/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>SLIVISU – A visual analytics tool to validate simulation models against collected data.</title><link>http://www.vismaster.eu/news/slivisu/</link> <comments>http://www.vismaster.eu/news/slivisu/#comments</comments> <pubDate>Mon, 14 Dec 2009 21:38:51 +0000</pubDate> <dc:creator>VisMaster Team</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[model]]></category> <category><![CDATA[simulation]]></category> <category><![CDATA[slivisu]]></category> <category><![CDATA[vismaster]]></category> <category><![CDATA[Visual Analytics]]></category><guid
isPermaLink="false">http://vismaster.eu/?p=213</guid> <description><![CDATA[Environmental simulation models are created to understand environmental processes and to analyse future scenarios. To asses the quality of simulation models various methods are applied, one is to validate model output against collected data. [...]]]></description> <wfw:commentRss>http://www.vismaster.eu/news/slivisu/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Geovisual Analytics applied to a Swedish Road Warning Prediction System</title><link>http://www.vismaster.eu/news/geovisual-analytics-applied-to-a-swedish-road-warning-prediction-system/</link> <comments>http://www.vismaster.eu/news/geovisual-analytics-applied-to-a-swedish-road-warning-prediction-system/#comments</comments> <pubDate>Mon, 14 Dec 2009 21:17:54 +0000</pubDate> <dc:creator>VisMaster Team</dc:creator> <category><![CDATA[Featured Articles]]></category> <category><![CDATA[News]]></category> <category><![CDATA[geovisual]]></category> <category><![CDATA[prediction system]]></category> <category><![CDATA[vismaster]]></category> <category><![CDATA[Visual Analytics]]></category><guid
isPermaLink="false">http://vismaster.eu/?p=209</guid> <description><![CDATA[The Swedish road administration has for this winter season introduced an advanced road warning prediction system that has been developed in close collaboration with Swedish Meteorological and Hydrological Institute SMHI. [...]]]></description> <wfw:commentRss>http://www.vismaster.eu/news/geovisual-analytics-applied-to-a-swedish-road-warning-prediction-system/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> </channel> </rss>
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