Event Querying

Event Querying is a visual querying paradigm that enables the retrieval and analysis of specific occurrences or dynamic activities within visual data by leveraging temporal, spatial, and semantic constraints to distinguish meaningful events from static or background content.

71

Publications

3.6K

Citations

262

Authors

99

Institutions

Publications per year

2017–2026

10

Authors

262

  1. RJ
    Ramesh Jain

    University of California, Irvine, United States

    7 publications · 126 citations

    7

    h-index

  2. ME
    Michael Eckert

    Deutsches Museum, Germany

    3 publications · 64 citations

    3

    h-index

  3. JS
    Josef Schiefer

    TU Wien, Austria

    3 publications · 94 citations

    3

    h-index

  4. RT
    Raphaël Troncy

    EURECOM, France

    3 publications · 33 citations

    3

    h-index

  5. EA
    Elke A. Rundensteiner

    Worcester Polytechnic Institute, United States

    3 publications · 53 citations

    3

    h-index

1–5 of 262

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 182 citations

    3

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 23 citations

    2

    h-index

  3. 2

    h-index

  4. Multimedia Tools and Applications

    2 publications · 70 citations

    2

    h-index

  5. 1

    h-index

1–5