Saliency-based Search

Saliency-Based Search is a visual search strategy that directs eye movements toward salient regions of a scene, distinguished by its reliance on bottom-up perceptual features to prioritize locations with maximal visual contrast or uniqueness relative to their surroundings.

122

Publications

12K

Citations

352

Authors

174

Institutions

Publications per year

2017–2026

20

Authors

352

  1. LZ
    Li Zhaoping

    University College London, United Kingdom

    5 publications · 438 citations

    5

    h-index

  2. MZ
    Michael Zehetleitner

    Ludwig-Maximilians-Universität München, Germany

    5 publications · 332 citations

    5

    h-index

  3. LI
    Laurent Itti

    University of Southern California, United States

    5 publications · 495 citations

    5

    h-index

  4. HJ
    Hermann J. Müller

    Ludwig-Maximilians-Universität München, Germany

    5 publications · 293 citations

    5

    h-index

  5. HN
    Hans‐Christoph Nothdurft

    Max Planck Institute for Biophysical Chemistry, Germany

    3 publications · 194 citations

    3

    h-index

1–5 of 352

Venues

  1. Journal of Vision

    14 publications · 2.4K citations

    11

    h-index

  2. Visual Cognition

    6 publications · 388 citations

    6

    h-index

  3. 5

    h-index

  4. IEEE Transactions on Multimedia

    3 publications · 225 citations

    3

    h-index

  5. PLoS ONE

    2 publications · 77 citations

    2

    h-index

1–5