Region-based Image Retrieval

Region-Based Image Retrieval is a method in image retrieval that identifies and analyzes distinct visual regions within images to enable content-based matching, differing from global feature approaches by focusing on localized spatial structures and their semantic attributes.

410

Publications

30K

Citations

1K

Authors

402

Institutions

Publications per year

2017–2026

61

Authors

1K

  1. DZ
    Dengsheng Zhang

    Monash University, Australia

    11 publications · 2.2K citations

    11

    h-index

  2. GL
    Guojun Lu

    Monash University, Australia

    11 publications · 2.3K citations

    11

    h-index

  3. JZ
    James Z. Wang

    Pennsylvania State University, United States

    9 publications · 3.1K citations

    9

    h-index

  4. WM
    Wei‐Ying Ma

    Microsoft Research Asia (China), China

    7 publications · 2.2K citations

    7

    h-index

  5. ML
    Mingjing Li

    Microsoft Research Asia (China), China

    6 publications · 452 citations

    6

    h-index

1–5 of 1K

Venues

  1. Multimedia Tools and Applications

    15 publications · 522 citations

    13

    h-index

  2. 12

    h-index

  3. IEEE Transactions on Multimedia

    10 publications · 393 citations

    10

    h-index

  4. 10

    h-index

  5. Pattern Recognition

    9 publications · 2.2K citations

    9

    h-index

1–5