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Auflistung nach Autor:in "Perera, Walpola Layantha"

1 - 3 von 3
  • Konferenzbeitrag
    Detecting Treasures in Museums with Artificial Intelligence
    (Workshop Gemeinschaften in Neuen Medien (GeNeMe) 2020, 2020) Perera, Walpola Layantha; Messemer, Heike; Heinz, Matthias; Kretzschmar, Michael
    Museums around the world possess hundreds of thousands of priceless objects, which have stories to tell about human history. While students and scholars study them, even the general public is interested in these stories. If there is a way to automate the information delivery system about these objects it will be of immense value, e.g. it will support students to study these objects and speed up research. Adaptive blended learning options are conceivable, which can perfectly merge digital analysis and onsite viewing. Thus, the preparation and post-processing of studied objects is just as conceivable as the adequate acquisition of information for on-site studies. Examples of such solutions would be mobile apps and computer software that can be used for history and archaeology education as well. However, it is important to identify these objects correctly in order to build such solutions. Computer vision technologies in artificial intelligence (AI) can be used for this. Therefore, this paper will show how AI-algorithms can be used for digital humanities in novel ways, such as for detecting museum treasures.
  • Konferenzbeitrag
    Processing History
    (Workshop Gemeinschaften in Neuen Medien (GeNeMe) 2021, 2021) Perera, Walpola Layantha; Messemer, Heike; Clados, Christiane
    The digital preservation of cultural heritage is an important and challenging task for the research community. Reconstructing historical objects, which do not exist anymore, in the form of digital 3D models makes it possible to visualize them and present them to the public. The reconstruction process as well as the visualization lead to a deeper understanding of the lost historical objects. But the process of the digitalreconstruction is complex and time consuming as diverse sources have to be consulted and interpreted. Therefore, in this paper the latest technology in the feld of artifcial intelligence (AI) is used to support researchers in the feld of Digital Humanities: A Transformer deep learning model based on questions answering methods is introduced to assist to digitally reconstruct historical objects in 3D. It implies a new dimension of data availability, which supports the knowledge process by making large amounts of data qualitatively accessible. [Aus: Einleitung]
  • Konferenzbeitrag
    Supporting Learning in Art History – Artificial Intelligence in Digital Humanities Education
    (Workshop Gemeinschaften in Neuen Medien (GeNeMe) 2020, 2020) Messemer, Heike; Perera, Walpola Layantha; Heinz, Matthias; Niebling, Florian; Maiwald, Ferdinand
    In recent years and especially in the context of the coronavirus pandemic, digital distance learning increases. But for academic students, the selection of adequate learning materials for educational purposes is becoming more and more complex. This marks only one starting point where the use of artificial intelligence (AI) offers additional value. AI has a great potential to enhance and support research and education in the field of digital humanities (DH). As international organisations have just expressed their thoughts on the subject, AI is the topic par excellence and will decisively shape the future development of educational processes.