Multimodal Querying

Multimodal Querying is a computational framework that enables users to formulate information retrieval requests through the integrated use of multiple modalities—such as text, image, audio, and video—thereby allowing queries to be expressed and interpreted across heterogeneous data types in a unified semantic space.

88

Publications

3.6K

Citations

370

Authors

157

Institutions

Publications per year

2017–2026

28

Authors

370

  1. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    2 publications · 463 citations

    2

    h-index

  2. CG
    Cees G. M. Snoek

    University of Amsterdam, Netherlands

    2 publications · 212 citations

    2

    h-index

  3. CZ
    Ce Zhang

    Carnegie Mellon University, United States

    2 publications · 68 citations

    2

    h-index

  4. ÖU
    Özgür Ulusoy

    Bilkent University, Türkiye

    2 publications · 59 citations

    2

    h-index

  5. IB
    Ilaria Bartolini

    University of Bologna, Italy

    2 publications · 42 citations

    2

    h-index

1–5 of 370

Venues

  1. IEEE Transactions on Image Processing

    2 publications · 70 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 65 citations

    2

    h-index

  3. 2

    h-index

  4. IEEE Multimedia

    2 publications · 59 citations

    2

    h-index

  5. Multimedia Tools and Applications

    2 publications · 41 citations

    2

    h-index

1–5