Real-time Video Analytics

Real-Time Video Analytics is a computational framework that enables the immediate processing, interpretation, and extraction of meaningful visual information from video streams as they are captured, distinguished from other video analysis methods by its strict temporal constraints ensuring actionable insights with minimal latency.

121

Publications

5.6K

Citations

509

Authors

185

Institutions

Publications per year

2017–2026

87

Authors

509

  1. GA
    Ganesh Ananthanarayanan

    Microsoft (United States), United States

    5 publications · 863 citations

    5

    h-index

  2. AH
    Arun Hampapur

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 409 citations

    3

    h-index

  3. YS
    Yuanchao Shu

    Zhejiang University, China

    3 publications · 93 citations

    3

    h-index

  4. PY
    Peng Yang

    Huazhong University of Science and Technology, China

    3 publications · 145 citations

    3

    h-index

  5. PA
    Plamen Angelov

    Lancaster University, United Kingdom

    2 publications · 38 citations

    2

    h-index

1–5 of 509

Venues

  1. IEEE Internet of Things Journal

    5 publications · 176 citations

    6

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 126 citations

    4

    h-index

  3. Multimedia Tools and Applications

    4 publications · 135 citations

    4

    h-index

  4. Journal of Real-Time Image Processing

    3 publications · 90 citations

    3

    h-index

  5. IEEE Access

    3 publications · 114 citations

    3

    h-index

1–5