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Proceedings/Recueil Des Communications Année : 2023

An overview on the evaluated video retrieval tasks at TRECVID 2022

George Awad
  • Fonction : Auteur
Keith Curtis
  • Fonction : Auteur
Asad Butt
  • Fonction : Auteur
Jonathan Fiscus
  • Fonction : Auteur
Afzal Godil
  • Fonction : Auteur
Yooyoung Lee
  • Fonction : Auteur
Andrew Delgado
  • Fonction : Auteur
Eliot Godard
  • Fonction : Auteur
Lukas Diduch
  • Fonction : Auteur
Jeffrey Liu
  • Fonction : Auteur
Yvette Graham
  • Fonction : Auteur

Résumé

The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video analysis and retrieval evaluation with the goal of promoting progress in research and development of content-based exploitation and retrieval of information from digital video via open, tasks-based evaluation supported by metrology. Over the last twenty-one years this effort has yielded a better understanding of how systems can effectively accomplish such processing and how one can reliably benchmark their performance. TRECVID has been funded by NIST (National Institute of Standards and Technology) and other US government agencies. In addition, many organizations and individuals worldwide contribute significant time and effort. TRECVID 2022 planned for the following six tasks: Ad-hoc video search, Video to text captioning, Disaster scene description and indexing, Activity in extended videos, deep video understanding, and movie summarization. In total, 35 teams from various research organizations worldwide signed up to join the evaluation campaign this year. This paper introduces the tasks, datasets used, evaluation frameworks and metrics, as well as a high-level results overview.
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Dates et versions

hal-04444934 , version 1 (07-02-2024)

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George Awad, Keith Curtis, Asad Butt, Jonathan Fiscus, Afzal Godil, et al.. An overview on the evaluated video retrieval tasks at TRECVID 2022. Proceedings of TRECVid 2022 - arXiv 2306.13118, arXiv, 2023, ⟨10.48550/arXiv.2306.13118⟩. ⟨hal-04444934⟩
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