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    Elements of APN

    Using Machine Learning for the Detection, Typologization, and Comparison of Iconographic Elements in Visual Artifacts.

    Institut für Designforschung (IDE)

    Asia Graphu, APN

    The project combines machine learning and manual research to undertake a formal, visual analysis of the «APN» print work cycle (1953/54) by the Jikken Kōbō collective, as well as Japanese art and design magazines from the late 1940s and early 1950s.

     

    The project combines machine learning and manual research to undertake a formal, visual analysis of the APN print work cycle (1953/54) by the Jikken Kōbō collective, as well as Japanese art and design magazines from the late 1940s and early 1950s. Following this visual examination, the study will be situated within a broader design and art historical context. Both the analysis – conducted in collaboration with the IVIA Lab at ETH Zurich – and its contextualization are part of a case study within the framework of a publication project, funded by an IfCAR Grant from ZHdK, and a larger research initiative aimed at developing a subsequent funding proposal for third-party grants.

     

    Details

    • Research Focus
      • FRVC Visual Communication
    • Project Lead
      • Andreas Koller (FRVC)
    • Team
      • Dekas Dimitros (IVIA Research Lab)
      • Rita Sevastjanova (IVIA Research Lab)
    • Duration

      01.08. – 31.12.2024

    • Financing
      • Junior Research in Design Programm IDE (01.08. – 31.12.2024)
    • Research Approaches
      • Applied research
      • Artistic-scientific research
    • Disciplines

      Design

    • Keywords

      Japan, Avantgarde, experimental publishing, machine vision, digital tools, Bauhaus, printstudies, Machine Learning, Publishing