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        "title": "Visualization working group at TU Wien: Visibile Facimus Quod Ceteri Non Possunt",
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        "abstract": "Building-up and running a university-based research group is a multi-faceted undertaking. The visualization working group at TU Wien (vis-group) has been internationally active over more than 25 years. The group has been acting in a competitive scientific setting where sometimes contradicting multiple objectives require trade-offs and optimizations. Research-wise the group has been performing basic and applied research in visualization and visual computing. Teaching-wise the group has been involved in undergraduate and graduate lecturing in (medical) visualization and computer graphics. To be scientifically competitive requires to constantly expose the group and its members to a strong international competition at the highest level. This necessitates to shield the members against the ensuing pressures and demands and provide (emotional) support and encouragement. Internally, the vis-group has developed a unique professional and social interaction culture: work and celebrate, hard and together. This has crystallized into a nested, recursive, and triangular organization model, which concretizes what it takes to make a research group successful. The key elements are the creative and competent vis-group members who collaboratively strive for (scientific) excellence in a socially enjoyable environment.",
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    {
        "id": "mindek-xmas-card-2016",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2016",
        "date": "2016-12",
        "abstract": "As far as we can tell, the Universe is made of atoms. Or pixels. In any case, this Christmas card celebrates both.\n\nThis year's Christmas tree is decorated with a chain of DNA molecules modeled as a spline populated by nucleotides. Several macromolecules of Fibrinogen, Hemoglobin, and Low-Density Lipoprotein are used as decorations as well. All the proteins, as well as the DNA, are modeled down to atomic resolution. The scene is rendered in real-time using cellVIEW - a molecular visualization framework developed at TU Wien and Scripps Research Institute.\n\n***\n\nSoweit wir wissen besteht das Universum aus Atomen. Oder Pixel. Wie auch immer, diese Weihnachtskarte feiert beides.\n\nDer Weihnachtsbaum ist mit einer DNA-Molekülkette geschmückt, modelliert als ein Spline der mit Nukleotiden besetzt ist. Auch mehrere Fibrinogen-, Hämoglobin- und Lipoprotein-Makromoleküle wurden als Dekorationen verwendet. Alle Proteine, als auch die DNA, sind bis auf Atomauflösung modelliert. Die Szene wurde mit cellVIEW in Echtzeit gerendert. cellVIEW ist eine Visualisierungssoftware für Moleküle, die an der TU Wien und dem Scripps Research Institute entwickelt wurde.",
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        "id": "sorger-2016-fowardabstraction",
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        "title": "Illustrative Transitions in Molecular Visualization via Forward and Inverse Abstraction Transform",
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        "abstract": "A challenging problem in biology is the incompleteness of acquired information when visualizing biological phenomena. Structural biology generates detailed models of viruses or bacteria at different development stages, while the processes that relate one stage to another are often not clear. Similarly, the entire life cycle of a biological entity might be available as a quantitative model, while only one structural model is available. If the relation between two models is specified at a lower level of detail than the actual models themselves, the two models cannot be interpolated correctly. We propose a method that deals with the visualization of incomplete data information in the developmental or evolutionary states of biological mesoscale models, such as viruses or microorganisms. The central tool in our approach is visual abstraction. Instead of directly interpolating between two models that show different states of an organism, we gradually forward transform the models into a level of visual abstraction that matches the level of detail of the modeled relation between them. At this level, the models can be interpolated without conveying false information. After the interpolation to the new state, we apply the inverse transformation to the model’'s original level of abstraction. To show the flexibility of our approach, we demonstrate our method on the basis of molecular data, in particular data of the HIV virion and the mycoplasma bacterium.",
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        "title": "Visibility Equalizer: Cutaway Visualization of Mesoscopic Biological Models",
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        "abstract": "In scientific illustrations and visualization, cutaway views are often employed as an effective technique for occlusion management in densely packed scenes.We propose a novel method for authoring cutaway illustrations of mesoscopic biological models. In contrast to the existing cutaway algorithms, we take advantage of the specific nature of the biological models. These models consist of thousands of instances with a comparably smaller number of different types. Our method constitutes a two stage process. In the first step, clipping objects are placed in the scene, creating a cutaway visualization of the model. During this process, a hierarchical list of stacked bars inform the user about the instance visibility distribution of each individual molecular type in the scene. In the second step, the visibility of each molecular type is fine-tuned through these bars, which at this point act as interactive visibility equalizers. An evaluation of our technique with domain experts confirmed that our equalizer-based approach for visibility specification is valuable and effective for both, scientific and educational purposes.",
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        "title": "Automatized Summarization of Multiplayer Games",
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        "abstract": "We present a novel method for creating automatized gameplay dramatization of multiplayer video games. The dramatization serves as a visual form of guidance through dynamic 3D scenes with multiple foci, typical for such games. Our goal is to convey interesting aspects of the gameplay by animated sequences creating a summary of events which occurred during the game. Our technique is based on processing many cameras, which we refer to as a flock of cameras, and events captured during the gameplay, which we organize into a so-called event graph. Each camera has a lifespan with a certain time interval and its parameters such as position or look-up vector are changing over time. Additionally, during its lifespan each camera is assigned an importance function, which is dependent on the significance of the structures that are being captured by the camera. The images captured by the cameras are composed into a single continuous video using a set of operators based on cinematographic effects. The sequence of operators is selected by traversing the event graph and looking for specific patterns corresponding to the respective operators. In this way, a large number of cameras can be processed to generate an informative visual story presenting the gameplay. Our compositing approach supports insets of camera views to account for several important cameras simultaneously. Additionally, we create seamless transitions between individual selected camera views in order to preserve temporal continuity, which helps the user to follow the virtual story of the gameplay.",
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        "title": "X-Mas Card 2014",
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        "abstract": "This greeting card shows a Christmas preparation scene - the origin of the Christmas tree. Don't feel bad for the tree! In fact, it is happy to bring joy to children and get fancy makeup too. It is just a bit shocked at this moment.\r\nIn the sky we see several constellations. From left, there are Encephalon, Maestros, Pelvis, and Infans. The interpretations of the constellations are created through medical-visualization technology. Even though these constellations have not yet been discovered, they might be one day.\r\n\r\nDiese Grußkarte zeigt eine Weihnachtsvorbereitungsszene - der Ursprung des Weihnachtsbaumes. Sie brauchen den Baum nicht zu bedauern! Tatsächlich ist er froh, Kinder glücklich zu machen und schön geschmückt zu werden. Er ist nur in diesem Moment ein wenig geschockt.\r\nAm Himmel sieht man mehrere Sternzeichen. Von links nach rechts sind das Encephalon, Maestros, Pelvis und Infans. Die Interpretationen wurden durch medizinische Visualisierungen erzeugt. Zwar wurden diese Sternbilder bisher noch nicht entdeckt, das könnte sich aber eines Tages ändern.\r\n",
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