Multimedia Image Compression

Multimedia Image Compression is a computational framework that integrates multiple media-specific constraints and optimization strategies to achieve efficient representation, storage, and transmission of image data within heterogeneous multimedia systems.

319

Publications

11.6K

Citations

901

Authors

282

Institutions

Publications per year

2017–2026

29

Authors

901

  1. HK
    Hitoshi Kiya

    Tokyo Metropolitan University, Japan

    5 publications · 315 citations

    5

    h-index

  2. LC
    Liang‐Gee Chen

    National Taiwan University, Taiwan

    4 publications · 119 citations

    4

    h-index

  3. TW
    Thomas Wiegand

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    4 publications · 640 citations

    4

    h-index

  4. KK
    Kenta Kurihara

    Tokyo Metropolitan University, Japan

    4 publications · 273 citations

    4

    h-index

  5. CJ
    C.‐C. Jay Kuo

    University of Southern California, United States

    4 publications · 185 citations

    4

    h-index

1–5 of 901

Venues

  1. 21

    h-index

  2. IEEE Signal Processing Letters

    10 publications · 402 citations

    10

    h-index

  3. IEEE Transactions on Consumer Electronics

    11 publications · 1.6K citations

    10

    h-index

  4. IEEE Transactions on Image Processing

    9 publications · 316 citations

    9

    h-index

  5. 7

    h-index

1–5