Visual Data Retrieval

Visual Data Retrieval is a computational process within the domain of visual querying that involves locating and extracting relevant visual data instances from a repository based on specified visual or multimodal queries, distinguished by its focus on content-based matching and indexing of visual features.

147

Publications

7.1K

Citations

471

Authors

198

Institutions

Publications per year

2017–2026

26

Authors

471

  1. ML
    Mathias Lux

    University of Klagenfurt, Austria

    5 publications · 147 citations

    5

    h-index

  2. RJ
    Ramesh Jain

    University of California, Irvine, United States

    3 publications · 713 citations

    3

    h-index

  3. GS
    Gholamhosein Sheikholeslami

    University at Buffalo, State University of New York, United States

    3 publications · 191 citations

    3

    h-index

  4. AD
    Alberto Del Bimbo

    University of Florence, Italy

    3 publications · 251 citations

    3

    h-index

  5. JR
    John R. Smith

    IBM (United States), United States

    3 publications · 413 citations

    3

    h-index

1–5 of 471

Venues

  1. 6

    h-index

  2. IEEE Transactions on Image Processing

    4 publications · 157 citations

    4

    h-index

  3. IEEE Transactions on Multimedia

    4 publications · 167 citations

    4

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 304 citations

    4

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 192 citations

    3

    h-index

1–5