Midi-driven Visualization

MIDI-Driven Visualization is a computational method for generating dynamic visual content through the real-time interpretation of MIDI data, distinguishing itself by establishing a direct, structured correspondence between musical events encoded in MIDI and parametric visual transformations.

7

Publications

100

Citations

12

Authors

8

Institutions

Publications per year

2017–2026

0

Authors

12

  1. EC
    Elaine Chew

    University of Southern California, United States

    2 publications · 31 citations

    2

    h-index

  2. AR
    Alexandre R. J. François

    University of Southern California, United States

    2 publications · 31 citations

    2

    h-index

  3. RH
    Rumi Hiraga

    Bunkyo University, Japan

    1 publications · 10 citations

    1

    h-index

  4. LW
    Lonce Wyse

    National University of Singapore, Singapore

    1 publications · 17 citations

    1

    h-index

  5. GA
    Gérard Assayag

    Centre National de la Recherche Scientifique, France

    1 publications · 10 citations

    1

    h-index

1–5 of 12

Venues

  1. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 2 publications · 31 citations

    2

    h-index

  2. SMARTech Repository (Georgia Institute of Technology)

    Repository · 1 publications · 11 citations

    1

    h-index

  3. Computers in entertainment

    CIE · 1 publications · 18 citations

    1

    h-index

1–3