Example-based Image Retrieval

Example-Based Image Retrieval is an image retrieval paradigm that belongs to the broader category of content-based image retrieval, distinguished by its reliance on a query image as the primary example to search for visually similar images based on low-level or high-level visual features.

30

Publications

1.4K

Citations

77

Authors

45

Institutions

Publications per year

2017–2026

3

Variants

Ebir

Authors

77

  1. HW
    Hugh Williams

    RMIT University, Australia

    2 publications · 31 citations

    2

    h-index

  2. SM
    S. M. M. Tahaghoghi

    RMIT University, Australia

    2 publications · 31 citations

    2

    h-index

  3. NV
    Nuno Vasconcelos

    University of California San Diego, United States

    2 publications · 263 citations

    2

    h-index

  4. NB
    Nozha Boujemaa

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 28 citations

    2

    h-index

  5. JA
    James A. Thom

    RMIT University, Australia

    2 publications · 31 citations

    2

    h-index

1–5 of 77

Venues

  1. IEEE Transactions on Multimedia

    2 publications · 357 citations

    2

    h-index

  2. IEEE Transactions on Image Processing

    2 publications · 102 citations

    2

    h-index

  3. IEEE Geoscience and Remote Sensing Letters

    GRSL · 1 publications · 27 citations

    1

    h-index

  4. Pattern Recognition Letters

    1 publications · 65 citations

    1

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 12 citations

    1

    h-index

1–5