Video Querying

Video Querying is a visual querying method that specifically enables the retrieval or analysis of information from video data through user-defined queries, distinguished by its focus on temporal and spatiotemporal content in dynamic visual sequences.

247

Publications

14.2K

Citations

760

Authors

236

Institutions

Publications per year

2017–2026

58

Authors

760

  1. DK
    Daniel Kang

    Stanford University, United States

    8 publications · 277 citations

    8

    h-index

  2. UG
    Uğur Güdükbay

    Bilkent University, Türkiye

    8 publications · 350 citations

    8

    h-index

  3. ÖU
    Özgür Ulusoy

    Bilkent University, Türkiye

    8 publications · 350 citations

    8

    h-index

  4. MZ
    Matei Zaharia

    Stanford University, United States

    8 publications · 277 citations

    8

    h-index

  5. PB
    Peter Bailis

    Stanford University, United States

    7 publications · 252 citations

    7

    h-index

1–5 of 760

Venues

  1. 11

    h-index

  2. arXiv (Cornell University)

    Repository · 10 publications · 289 citations

    9

    h-index

  3. IEEE Transactions on Multimedia

    8 publications · 277 citations

    8

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 7 publications · 542 citations

    7

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 6 publications · 195 citations

    6

    h-index

1–5