EuroVisPosters

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On Visualizing Music Storage Media for Modern Access to Historic Sources
(The Eurographics Association, 2022) Khulusi, Richard; Fricke, Heike; Krone, Michael; Lenti, Simone; Schmidt, Johanna
Finding a balance between conserving historic objects and using them for research is one of the big issues in historic collections. Digitization holds the opportunity to offer a safe and non-destructible access to historic objects, making them available for research. With this poster, we want to give insight into our planned visualization system, using close and distant reading access for visual analysis approaches and allowing musicologists novel approaches to normally fragile and endangered media.
Project iMuse: an Interactive Visualizer of Lyrical Sentiment
(The Eurographics Association, 2023) Lu, Anna; Anstey, Jack; Zhang, Zack; Wang, Ruohe; Gillmann, Christina; Krone, Michael; Lenti, Simone
Our interactive visualization, Project iMuse [SA22a], provides the unique ability to view the most used words in popular music over the past 50+ years in conjunction with how they were used in songs through sentiment analysis. To aid in more detailed analyses, Project iMuse has the ability to dynamically consider a variety of user defined subsets. These subsets are created through the user interaction, which includes changing the range of years considered and selecting particular word types.
Shapes of Time: Visualizing Set Changes Over Time in Cultural Heritage Collections
(The Eurographics Association, 2019) Salisu, Saminu; Mayr, Eva; Filipov, Velitchko Andreev; Leite, Roger A.; Miksch, Silvia; Windhager, Florian; Madeiras Pereira, João and Raidou, Renata Georgia
In cultural heritage collections, categorization is a central technique used to distinguish cultural movements, styles, or genres. For that end, objects are tagged with set-typed metadata and other information, such as time of origin. Visualizations can communicate how such sets organize a collection - and how they change over time. But existing interfaces fall short of a) representing an overview of temporal set-developments in an integrated fashion and b) of representing the set elements (i.e., the cultural objects) themselves to be contemplated on demand. Against this background, we introduce two integrated visualization techniques - a superimposition and a space-time cube view - depicting the development of sets and their elements over time. We share first results from a qualitative evaluation with casual users and outline open challenges for future research.
Visual Biofeedback for Upper Limb Compensatory Movements: A Preliminary Study Next to Rehabilitation Professionals
(The Eurographics Association, 2019) Simões Lopes, Daniel; Faria, Afonso; Barriga, Ana; Caneira, Sérgio; Baptista, Filomena; Matos, Catarina; Neves, Ana F.; Prates, Leonor; Pereira, Ângela Maria; Nicolau, Hugo; Madeiras Pereira, João and Raidou, Renata Georgia
In this preliminary study, we propose visual biofeedback techniques for representing compensatory movements that are commonly found in upper limb rehabilitation exercises. Here, visual biofeedback is represented by stick figures adorned with different graphical elements to highlight abnormal motor patterns. We explore 4 visual biofeedback techniques for analysing movements designed for neuromotor rehabilitation of the upper limb. Co-design sessions were conducted next to 5 rehabilitation professionals. The resulting visual designs were then evaluated by 3 other physiotherapists, each evaluated the visual biofeedback of two types of compensatory movements: arm elevation-flexion and cephalic tilt. Results indicate that although there is a preferred technique, participants suggested to design a novel representation that should incorporate features from different sources, thus designing a hybrid visual biofeedback technique.
Visualization Challenges of Variant Interpretation in Multiscale NGS Data
(The Eurographics Association, 2022) Ståhlbom, Emilia; Molin, Jesper; Lundström, Claes; Ynnerman, Anders; Krone, Michael; Lenti, Simone; Schmidt, Johanna
There is currently a movement in health care towards precision medicine, where genomics often is the central diagnostic component for tailoring the treatment to the individual patient. We here present results from a domain characterization effort to pinpoint problems and possibilities for visualization of genomics data in the clinical workflow, with analysis of copy number variants as an example task. Five distinct characteristics have been identified. Clinical genomics data is inherently multiscale, riddled with artifacts and uncertainty, and many findings have unknown significance, so it is a challenging visual analytics domain. Moreover, as in other clinical domains, high efficiency is key. This characterization will form the basis for follow-on visualization prototyping.
Visualizing Similarities between American Rap-Artists
(The Eurographics Association, 2022) Meinecke, Christofer; Schebera, Jeremias; Eschrich, Jakob; Wiegreffe, Daniel; Krone, Michael; Lenti, Simone; Schmidt, Johanna
Rap music is one of the biggest music genres in the world today. Since the early days of rap music, references not only to pop culture but also to other rap artists have been an integral part of the lyrics' artistry. In addition, rap musicians reference each other by adopting fragments of lyrics, for example, to give credit. This kind of text reuse can be used to create connections between individual artists. Due to the large amount of lyrics, only automated detection methods can efficiently detect similarities between the songs and the artists. Here, we present a visualization system for analyzing rap music lyrics. We also trained a network tailored specifically for rap lyrics to compute similarities in lyrics. Here a video of the prototype can be seen.
The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position
(The Eurographics Association, 2019) Mörth, Eric; Raidou, Renata Georgia; Smit, Noeska; Viola, Ivan; Madeiras Pereira, João and Raidou, Renata Georgia
Three dimensional (3D) ultrasound is commonly used in prenatal screening, because it provides insight into the shape as well as the organs of the fetus. Currently, gynecologists take standardized measurements of the fetus and check for abnormalities by analyzing the data in a 2D slice view. The fetal pose may complicate taking precise measurements in such a view. Analyzing the data in a 3D view would enable the viewer to better distinguish between artefacts and representative information. Standardization in medical imaging techniques aims to make the data comparable between different investigations and patients. It is already used in different medical applications for example in magnetic resonance imaging (MRI). With this work, we introduce a novel approach to provide a standardization method for 3D ultrasound screenings of fetuses. The approach consists of six steps and is called ''The Vitruvian Baby''. The input is the data of the 3D ultrasound screening of a fetus and the output shows the fetus in a standardized T-pose in which measurements can be made. The precision of standardized measurements compared to the gold standard is for the finger to finger span 91,08% and for the head to toe measurement 94,05%.
A Web-based Visual Analytics Application for Biological Networks
(The Eurographics Association, 2020) Krone, Michael; Dräger, Andreas; Cobanoglu, Ebru; Harke, Manuel Otto; Hoene, Miriam; Weigert, Cora; Lehmann, Rainer; Byška, Jan and Jänicke, Stefan
Modern high-throughput methods enable rapidly obtaining transcriptomics data, which includes information about the expression rate of genes. The expression rates are usually given as fold change, which describes the over- or under-expression of each gene. Each gene can be part of one or more biological pathways. A pathway models the interactions between molecules in an organism that lead to a particular chemical change. Consequently, many applications in medical research need to analyze the impact of gene expression changes on the biological pathways of an organism. It allows concluding diseases or other conditions of the organism. We present a web-based visual analytics application that facilitates exploring the network of biological pathways corresponding to a given set of genes. The network is constructed from pathways derived from an external database. Users can interactively zoom and filter the network and get details on demand. Our application is currently work in progress and is developed in close collaboration with medical researchers. In subsequent steps, we strive to add more features, such as the ability to compare data from different individuals or to visualize time series data. Furthermore, we want to extend our application to visualize not just transcriptomics but multi-omics data.

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Browsing EuroVisPosters by Subject "Applied computing"

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