A Specialized Corpus for Film Understanding

Authors

  • David Winer University of Utah
  • Joseph Magliano Northern Illinois University
  • James Clinton Northern Illinois University
  • Aidan Osterby Northern Illinois University
  • Thomas Ackerman University of North Carolina School of Arts
  • R. Young University of Utah

DOI:

https://doi.org/10.1609/aiide.v13i2.12984

Keywords:

intelligent cinematography, film corpus

Abstract

We have developed a cinematic annotation scheme and used that scheme to create a shot-by-shot annotated corpus of similar scenes to aid with research in film understanding. This paper introduces and describes the scheme and the created corpus, discusses some of its merits, and summarizes some basic findings.

Downloads

Published

2017-10-05

How to Cite

Winer, D., Magliano, J., Clinton, J., Osterby, A., Ackerman, T., & Young, R. (2017). A Specialized Corpus for Film Understanding. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 13(2), 266–272. https://doi.org/10.1609/aiide.v13i2.12984