Query By Example Retrieval

Query By Example Retrieval is a multimedia retrieval paradigm in which a concrete instance of a media object serves as the query to find perceptually or semantically similar items in a database, distinguishing it from textual or symbolic query methods by relying on exemplar-based similarity matching.

127

Publications

7K

Citations

333

Authors

136

Institutions

Publications per year

2017–2026

15

Authors

333

  1. HL
    Haizhou Li

    National University of Singapore, Singapore

    5 publications · 134 citations

    5

    h-index

  2. MH
    Marko Helén

    4 publications · 104 citations

    4

    h-index

  3. CJ
    C.‐C. Jay Kuo

    University of Southern California, United States

    4 publications · 282 citations

    4

    h-index

  4. CL
    Cheung-Chi Leung

    Institute for Infocomm Research, Singapore

    4 publications · 72 citations

    4

    h-index

  5. BM
    Bin Ma

    Institute for Infocomm Research, Singapore

    4 publications · 72 citations

    4

    h-index

1–5 of 333

Venues

  1. 8

    h-index

  2. IEEE Transactions on Image Processing

    5 publications · 321 citations

    5

    h-index

  3. IEEE Transactions on Multimedia

    4 publications · 523 citations

    4

    h-index

  4. MediaEval

    3 publications · 96 citations

    3

    h-index

  5. IEEE Multimedia

    3 publications · 163 citations

    3

    h-index

1–5