Real-time Segmentation

Real-Time Segmentation is a methodological framework within signal and data processing that enables the continuous and immediate partitioning of incoming data streams into structurally or functionally distinct segments with minimal latency, ensuring temporal alignment between analysis and acquisition.

495

Publications

35.6K

Citations

1.9K

Authors

623

Institutions

Publications per year

2017–2026

316

Authors

1.9K

  1. JL
    Jiehao Li

    Beijing Institute of Technology, China

    6 publications · 167 citations

    6

    h-index

  2. YD
    Yingpeng Dai

    Beijing Institute of Technology, China

    5 publications · 132 citations

    5

    h-index

  3. KY
    Kailun Yang

    Zhejiang University, China

    5 publications · 268 citations

    5

    h-index

  4. IR
    Ian Reid

    The University of Adelaide, Australia

    5 publications · 340 citations

    5

    h-index

  5. QZ
    Quan Zhou

    Nanjing University of Posts and Telecommunications, China

    5 publications · 647 citations

    5

    h-index

1–5 of 1.9K

Venues

  1. arXiv (Cornell University)

    Repository · 31 publications · 2K citations

    21

    h-index

  2. 12

    h-index

  3. IEEE Access

    9 publications · 345 citations

    9

    h-index

  4. Neurocomputing

    9 publications · 324 citations

    8

    h-index

  5. Journal of Real-Time Image Processing

    8 publications · 191 citations

    8

    h-index

1–5