EuroVisPosters2019

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/2632785

Browse

Now showing 1 - 7 of 7

Interactive Hierarchical Quote Extraction for Content Insights
(The Eurographics Association, 2019) Knittel, Johannes; Koch, Steffen; Ertl, Thomas; Madeiras Pereira, João and Raidou, Renata Georgia
This work presents a new approach to visually summarize large micro-document collections such as tweets. We extract frequent patterns of phrases as shortened quotes to present analysts an overview of popular snippets and statements, enabling more specific insights into large text collections compared to keyword-based visualizations. In our hierarchical structure, each quote can be the starting point to extract more fine-grained patterns on a subset of sentences that match the parent pattern. We show that our approach is scalable by applying it to millions of tweets.
Model-Agnostic Visual Explanation of Machine Learning Models Based on Heat Map
(The Eurographics Association, 2019) Sawada, Shoko; Toyoda, Masashi; Madeiras Pereira, João and Raidou, Renata Georgia
It is essential to assess the trustworthiness of the machine learning models when deploying them to real-world applications, such as healthcare and risk management, in which domain experts need to make critical decisions. We propose a visual analysis method for supporting domain experts to understand and improve a given machine learning model based on a model-agnostic interpretable explanation technique. Our visualization method provides a heat map matrix as an overview of the model explanation and helps efficient feature engineering and data cleaning. We demonstrate our visualization method on a text classification task.
A Multi-Scale Animation Framework for Biological Fibrous Structures
(The Eurographics Association, 2019) Klein, Tobias; Viola, Ivan; Mindek, Peter; Madeiras Pereira, João and Raidou, Renata Georgia
Fibrous structures are ubiquitous in cell biology and play essential structural and functional roles in the life cycle of a cell. They are long polymers, such as DNA carrying genetic information, or filaments forming the cytoskeleton, crucial for cell division and maintaining the cell shape. In order to disseminate new findings of such structures to peers or a general audience, animated 3D models of these structures have to be created, as they are too small to be imaged with microscopes. However, this is a tedious task carried out by scientific animators, who manually create expressive visual representations of biological phenomena. In this work, we present a novel concept which simplifies the process of animating multi-scale procedural models of biological fibrous structures. In contrast with existing work in the domain of molecular visualization, our approach can also capture dynamics, which are important to show when communicating biological processes.
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.
A Study on Reflecting User's Emotions Using a Painterly Rendering System
(The Eurographics Association, 2019) Lee, Junghyun; Seo, Sanghyun; Yoon, Kyunghyun; Madeiras Pereira, João and Raidou, Renata Georgia
Painters express visual experience in paintings through their own form of artistic expression and viewers feel various emotions about the elements appearing in paintings. However, it is very difficult for non-experts to express their emotions in painting by using painting elements as painters do. Thus, we aim to help users to express their feelings by improving their understanding of painting elements. To do this, we created a variety of paintings based on elements using a painterly rendering system with painting features. Then, the relationship between painting elements and emotions was examined through the study of users. We present a method of generating a painting expressing a specific emotion by applying elements according to certain emotional values.
Visual Analysis of Reactionary Train Delay from an Agent Based Model
(The Eurographics Association, 2019) Slingsby, Aidan; Hyde, Jonathan; Turkay, Cagatay; Madeiras Pereira, João and Raidou, Renata Georgia
We design and apply interactive visualisation to help understand reactionary (knock-on) delay in trains using a set of 'Monte- Carlo' style Agent Based Model runs, and to help train operating companies design interventions. Our interactive graphics indicate the locations where primary delay occurs, where reactionary delay occurs, the types of primary delays, how these vary across the runs and the mechanisms of delay. We continue to work with the train industry to refine these methods. Interactive visualisation still has unexplored potential to help make Agent Based Models more explainable.
Visualization of Spatial and Temporal Pollution Exposure through a Temporal Ordered Spacial Matrix
(The Eurographics Association, 2019) Wootton, Dylan R.; Goffin, Pascal; Meyer, Miriah; Madeiras Pereira, João and Raidou, Renata Georgia
Poor air quality impacts public health due to increased incidences of serious health conditions; yet the data obtained about pollution is recorded at coarse resolution. Such resolution fails to capture known microclimates of air pollution and can pose a health hazard to individuals of sensitive groups when outdoors. AQ Route Explorer is a tool that visualizes spatial and temporal pollution trends for a given path of interest, helping people to make more informed personal health decisions.

Browse

Browsing EuroVisPosters2019 by Subject "Computing methodologies"

Results Per Page

Sort Options