Content-based Video Retrieval

Content-Based Video Retrieval is a multimedia retrieval paradigm that enables the search and retrieval of video content based on low-level visual and auditory features, motion patterns, and spatiotemporal relationships directly extracted from the video data, rather than relying on manually annotated metadata or textual descriptions.

901

Publications

51.4K

Citations

2.2K

Authors

667

Institutions

Publications per year

2017–2026

146

Authors

2.2K

  1. CN
    Chong‐Wah Ngo

    City University of Hong Kong, Hong Kong SAR China

    17 publications · 935 citations

    15

    h-index

  2. TS
    Thomas S. Huang

    University of Illinois Urbana-Champaign, United States

    13 publications · 1.3K citations

    12

    h-index

  3. MN
    Milind Naphade

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

    12 publications · 679 citations

    12

    h-index

  4. SC
    Shih‐Fu Chang

    Columbia University, United States

    10 publications · 1.8K citations

    10

    h-index

  5. MW
    Meng Wang

    Hefei University of Technology, China

    10 publications · 437 citations

    10

    h-index

1–5 of 2.2K

Venues

  1. IEEE Transactions on Multimedia

    41 publications · 3.3K citations

    26

    h-index

  2. Multimedia Tools and Applications

    27 publications · 905 citations

    19

    h-index

  3. 19

    h-index

  4. 17

    h-index

  5. IEEE Multimedia

    14 publications · 1.3K citations

    14

    h-index

1–5