Semantic Image Retrieval

Semantic Image Retrieval is a multimedia retrieval paradigm that enables the identification and retrieval of images based on high-level conceptual content—such as objects, actions, and scenes—thereby bridging the gap between low-level visual features and human-interpretable semantic meaning.

1K

Publications

126.4K

Citations

2.7K

Authors

862

Institutions

Publications per year

2017–2026

321

Variants

Semantic-based Image Retrieval

Authors

2.7K

  1. XH
    Xian‐Sheng Hua

    Microsoft Research Asia (China), China

    9 publications · 274 citations

    9

    h-index

  2. WM
    Wei‐Ying Ma

    Microsoft Research Asia (China), China

    9 publications · 2.6K citations

    9

    h-index

  3. NV
    Nuno Vasconcelos

    University of California San Diego, United States

    9 publications · 1.5K citations

    9

    h-index

  4. AD
    Alberto Del Bimbo

    University of Florence, Italy

    9 publications · 632 citations

    9

    h-index

  5. SY
    Shuicheng Yan

    National University of Singapore, Singapore

    8 publications · 792 citations

    8

    h-index

1–5 of 2.7K

Venues

  1. Multimedia Tools and Applications

    46 publications · 1.5K citations

    24

    h-index

  2. Pattern Recognition Letters

    22 publications · 2.1K citations

    19

    h-index

  3. Neurocomputing

    28 publications · 1.5K citations

    19

    h-index

  4. Pattern Recognition

    24 publications · 3K citations

    19

    h-index

  5. IEEE Transactions on Multimedia

    19 publications · 1.6K citations

    18

    h-index

1–5