Scene Structure Analysis

Scene Structure Analysis is a methodological framework within directorial concept development that systematically examines the compositional elements and temporal organization of a scene to elucidate its narrative function, emotional trajectory, and directorial intent.

544

Publications

50.5K

Citations

1.3K

Authors

460

Institutions

Publications per year

2017–2026

111

Authors

1.3K

  1. TK
    Takeo Kanade

    Carnegie Mellon University, United States

    11 publications · 1.1K citations

    11

    h-index

  2. MH
    Martial Hebert

    Carnegie Mellon University, United States

    8 publications · 1.4K citations

    8

    h-index

  3. PR
    Peter Rander

    Carnegie Mellon University, United States

    6 publications · 892 citations

    6

    h-index

  4. SG
    Srinivasa G. Narasimhan

    Carnegie Mellon University, United States

    5 publications · 2K citations

    5

    h-index

  5. JE
    James E. Cutting

    Cornell University, United States

    4 publications · 239 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 111 publications · 7.5K citations

    47

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 21 publications · 6.6K citations

    18

    h-index

  3. arXiv (Cornell University)

    Repository · 17 publications · 1.4K citations

    12

    h-index

  4. International Joint Conference on Artificial Intelligence

    Conference · 8 publications · 127 citations

    8

    h-index

  5. IEEE Transactions on Image Processing

    5 publications · 261 citations

    6

    h-index

1–5