The ACM Multimedia 2023 Deep Video Understanding Grand Challenge

Keith Curtis, George Awad, Afzal Godil, Ian Soboroff

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    This is the overview paper for the Deep Video Understanding (DVU) Grand Challenge. In recent years, a growing trend towards working on understanding videos (in particular movies) to a deeper level started to motivate researchers working in multimedia and computer vision to present new approaches and datasets to tackle this problem. This is a challenging research area which aims to develop a deep understanding of the relations which exist between different individuals and entities in movies using all available modalities such as video, audio, text and metadata. The aim of this grand challenge is to foster innovative research in this new direction and to provide benchmarking evaluations to advance technologies in the deep video understanding community.

    Original languageEnglish
    Title of host publicationMM 2023 - Proceedings of the 31st ACM International Conference on Multimedia
    PublisherAssociation for Computing Machinery, Inc
    Pages9606-9609
    Number of pages4
    ISBN (Electronic)9798400701085
    DOIs
    Publication statusPublished - 26 Oct 2023
    Event31st ACM International Conference on Multimedia, MM 2023 - Ottawa, Canada
    Duration: 29 Oct 20233 Nov 2023

    Publication series

    NameMM 2023 - Proceedings of the 31st ACM International Conference on Multimedia

    Conference

    Conference31st ACM International Conference on Multimedia, MM 2023
    Country/TerritoryCanada
    CityOttawa
    Period29/10/233/11/23

    Keywords

    • computer vision
    • movie analysis
    • multimedia understanding

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