Music Thumbnailing

Music Thumbnailing is a computational method in Music Information Retrieval that generates a concise, representative excerpt from a musical piece, distinguished by its ability to preserve the most salient structural and perceptual characteristics of the original work in a shortened form.

22

Publications

1.2K

Citations

51

Authors

22

Institutions

Publications per year

2017–2026

2

Authors

51

  1. WC
    Wei Chai

    Chinese PLA General Hospital, China

    3 publications · 90 citations

    3

    h-index

  2. MA
    Mark A. Bartsch

    University of Michigan, United States

    2 publications · 527 citations

    2

    h-index

  3. PG
    Peter Grosche

    Max Planck Institute for Informatics, Germany

    2 publications · 55 citations

    2

    h-index

  4. MG
    Masataka Goto

    National Institute of Advanced Industrial Science and Technology, Japan

    2 publications · 54 citations

    2

    h-index

  5. NJ
    Nanzhu Jiang

    Max Planck Society, Germany

    2 publications · 55 citations

    2

    h-index

1–5 of 51

Venues

  1. 2

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  2. IEEE Transactions on Multimedia

    2 publications · 297 citations

    2

    h-index

  3. International Symposium/Conference on Music Information Retrieval

    Conference · 2 publications · 98 citations

    2

    h-index

  4. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 15 citations

    1

    h-index

  5. Computers & Graphics

    1 publications · 16 citations

    1

    h-index

1–5