Visual Summarization

Visual Summarization is a visual data mining technique that generates concise graphical representations to distill and communicate the most salient patterns, structures, or features of complex datasets.

324

Publications

17.3K

Citations

943

Authors

361

Institutions

Publications per year

2017–2026

103

Authors

943

  1. BM
    Bernard Mérialdo

    EURECOM, France

    5 publications · 152 citations

    5

    h-index

  2. SC
    Sandra Carberry

    University of Delaware, United States

    5 publications · 126 citations

    5

    h-index

  3. SW
    Sung Wook Baik

    Sejong University, South Korea

    4 publications · 281 citations

    4

    h-index

  4. JM
    José M. Martínez

    Universidad Autónoma de Madrid, Spain

    4 publications · 80 citations

    4

    h-index

  5. MK
    Mohan Kankanhalli

    National University of Singapore, Singapore

    4 publications · 111 citations

    4

    h-index

1–5 of 943

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 16 publications · 831 citations

    15

    h-index

  2. Multimedia Tools and Applications

    17 publications · 516 citations

    14

    h-index

  3. arXiv (Cornell University)

    Repository · 7 publications · 124 citations

    7

    h-index

  4. Neurocomputing

    7 publications · 216 citations

    7

    h-index

  5. IEEE Transactions on Multimedia

    6 publications · 374 citations

    6

    h-index

1–5