Logo des Repositoriums

Auflistung nach Schlagwort "visual analytics"

1 - 3 von 3
  • Konferenzbeitrag
    Designing a Prototype for Visual Exploration of Narrative Patterns in NewsVideos
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Liebl, Bernhard; Burghardt, Manuel
    News videos play an important rule in shaping our everyday communication. At the same time, news videos use narrative patterns to keep people entertained. Understanding how these patterns work and are being applied in news videos is crucial for understanding how they may affect a videos ideological message, which is an important dimension in times of fake news and disinformation campaigns. We present Zoetrope, a web-based tool that supports the discovery of narrative patterns in news videos by means of a visual exploration approach. Zoetrope integrates a number of multimodal information extraction frameworks into an interactive visualization, to allow for an efficient exploratory access to large collections of news videos.
  • Textdokument
    Understanding Perceptual Bias in Machine Vision Systems
    (INFORMATIK 2020, 2021) Offert, Fabian; Bell, Peter
    Machine vision systems based on deep convolutional neural networks are increasingly utilized in digital humanities projects, particularly in the context of art-historical and audiovisual data. As research has shown, such systems are highly susceptible to bias. We propose that this is not only due to their reliance on biased datasets but also because their perceptual topology, their specific way of representing the visual world, gives rise to a new class of bias that we call perceptual bias. Perceptual bias, we argue, affects almost all currently available “off-the-shelf” machine vision systems, and is thus especially relevant for digital humanities applications, which often rely on such systems for hypothesis building. We evaluate the nature and scope of perceptual bias by means of a close reading of a visual analytics technique called “feature visualization” and propose to understand the development of critical visual analytics techniques as an important (digital) humanities challenge, situated at the interface of computer science and visual studies.
  • Konferenzbeitrag
    Visual analytics for knowledge management
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Vladova, Gergana; Ullrich, André; Sultanow, Eldar; Tobolla, Marinho; Sebrak, Sebastian; Czarnecki, Christian; Brockmann, Carsten
    The management of knowledge in organizations considers both established long-term processes and cooperation in agile project teams. Since knowledge can be both tacit and explicit, its transfer from the individual to the organizational knowledge base poses a challenge in organizations. This challenge increases when the fluctuation of knowledge carriers is exceptionally high. Especially in large projects in which external consultants are involved, there is a risk that critical, company-relevant knowledge generated in the project will leave the company with the external knowledge carrier and thus be lost. In this paper, we show the advantages of an early warning system for knowledge management to avoid this loss. In particular, the potential of visual analytics in the context of knowledge management systems is presented and discussed. We present a project for the development of a business-critical software system and discuss the first implementations and results.