HLVU: A New Challenge to Test Deep Understanding of Movies the Way Humans do

@article{Curtis2020HLVUAN,
  title={HLVU: A New Challenge to Test Deep Understanding of Movies the Way Humans do},
  author={Keith Curtis and George Awad and Shahzad Rajput and Ian Soboroff},
  journal={Proceedings of the 2020 International Conference on Multimedia Retrieval},
  year={2020}
}
  • Keith Curtis, George Awad, +1 author Ian Soboroff
  • Published 2020
  • Computer Science
  • Proceedings of the 2020 International Conference on Multimedia Retrieval
  • In this paper we propose a new evaluation challenge and direction in the area of High-level Video Understanding. The challenge we are proposing is designed to test automatic video analysis and understanding, and how accurately systems can comprehend a movie in terms of actors, entities, events and their relationship to each other. A pilot High-Level Video Understanding (HLVU) dataset of open source movies were collected for human assessors to build a knowledge graph representing each of them. A… CONTINUE READING

    References

    Publications referenced by this paper.

    Large ScaleMovie Description Challenge (LSMDC) 2019

    • Anna Rohrbach, Jae Sung Park
    • https://sites.google.com/site/describingmovies/lsmdc-2019, Last accessed on 2019-11-06
    • 2019
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