Video Content Analysis

Video Content Analysis is a systematic methodological framework within content analysis that specifically involves the extraction, interpretation, and quantification of visual, auditory, and contextual data from video recordings to identify patterns, themes, or behaviors inherent in the recorded content.

2.2K

Publications

118.8K

Citations

6.2K

Authors

1.7K

Institutions

Publications per year

2017–2026

862

Authors

6.2K

  1. TM
    Tao Mei

    Microsoft Research Asia (China), China

    22 publications · 3.8K citations

    18

    h-index

  2. XH
    Xian‐Sheng Hua

    Microsoft Research Asia (China), China

    18 publications · 1.2K citations

    15

    h-index

  3. QH
    Qingming Huang

    University of Chinese Academy of Sciences, China

    14 publications · 804 citations

    14

    h-index

  4. AH
    Alan Hanjalić

    Delft University of Technology, Netherlands

    12 publications · 2.1K citations

    11

    h-index

  5. SC
    Shih‐Fu Chang

    Columbia University, United States

    12 publications · 971 citations

    11

    h-index

1–5 of 6.2K

Venues

  1. 39

    h-index

  2. IEEE Transactions on Multimedia

    62 publications · 4.7K citations

    36

    h-index

  3. IEEE Transactions on Image Processing

    41 publications · 2.6K citations

    28

    h-index

  4. 21

    h-index

  5. arXiv (Cornell University)

    Repository · 34 publications · 1.9K citations

    20

    h-index

1–5