Multimodal Indexing

Multimodal Indexing is a scholarly methodological framework that systematically organizes and aligns heterogeneous data from multiple modalities into a unified structure to enable efficient retrieval, integration, and interpretation of cross-modal relationships.

38

Publications

1.2K

Citations

137

Authors

69

Institutions

Publications per year

2017–2026

2

Authors

137

  1. JC
    Juan Carlos Caicedo

    Northwestern University, United States

    2 publications · 86 citations

    2

    h-index

  2. ON
    Olfa Nasraoui

    University of Louisville, United States

    2 publications · 86 citations

    2

    h-index

  3. PD
    Petros Daras

    Information Technologies Institute, Greece

    2 publications · 85 citations

    2

    h-index

  4. TC
    Tat‐Seng Chua

    National University of Singapore, Singapore

    2 publications · 29 citations

    2

    h-index

  5. FA
    Fabio A. González

    Universidad Nacional de Colombia, Colombia

    2 publications · 86 citations

    2

    h-index

1–5 of 137

Venues

  1. IEEE Transactions on Multimedia

    2 publications · 86 citations

    2

    h-index

  2. Information Retrieval

    2 publications · 36 citations

    2

    h-index

  3. University of Twente Research Information

    Repository · 2 publications · 107 citations

    2

    h-index

  4. Neurocomputing

    1 publications · 70 citations

    1

    h-index

  5. International Journal of Biometrics

    1 publications · 10 citations

    1

    h-index

1–5