Vector Image Compression

Vector Image Compression is a computational method that reduces the storage size and transmission bandwidth of vector graphics by encoding geometric primitives and associated attributes in a more efficient representation while preserving scalability and fidelity.

61

Publications

2.1K

Citations

141

Authors

73

Institutions

Publications per year

2017–2026

4

Authors

141

  1. RM
    Robert M. Gray

    Stanford University, United States

    4 publications · 299 citations

    4

    h-index

  2. YH
    Yu‐Chen Hu

    Providence University, Taiwan

    3 publications · 107 citations

    3

    h-index

  3. ER
    E.A. Riskin

    University of Washington, United States

    3 publications · 166 citations

    3

    h-index

  4. LP
    Lai-Man Po

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 30 citations

    2

    h-index

  5. CC
    Chi-Kwong Chan

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 50 citations

    2

    h-index

1–5 of 141

Venues

  1. IEEE Transactions on Consumer Electronics

    4 publications · 59 citations

    4

    h-index

  2. IEEE Transactions on Image Processing

    3 publications · 300 citations

    3

    h-index

  3. IEEE Transactions on Communications

    3 publications · 121 citations

    3

    h-index

  4. 2

    h-index

  5. Electronics Letters

    2 publications · 26 citations

    2

    h-index

1–5