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TREC Video Retrieval Evaluation: TRECVID


The TREC conference series is sponsored by the National Institute of Standards and Technology (NIST) with additional support from other U.S. government agencies. The goal of the conference series is to encourage research in information retrieval by providing a large test collection, uniform scoring procedures, and a forum for organizations interested in comparing their results. In 2001 and 2002 the TREC series sponsored a video "track" devoted to research in automatic segmentation, indexing, and content-based retrieval of digital video. Beginning in 2003, this track became an independent evaluation (TRECVID) with a workshop taking place just before TREC.

Since 2003, TRECVID has been running a set of tracks including but not limited to:

  • Shot Boundary Detection
  • High-Level Feature Extraction
  • Video Search
  • Instance Search
  • Video Copy Detection
  • Multimedia Event Detection
  • Surveillance Event Detection
  • Video Captioning
  • Video Summarization
  • Disaster Scene Indexing
  • High-Level Video Understanding

Datasets from web & social media videos, soap operas, airport cameras, and civil air patrol have been employed across the different tracks. Between 50 to 70 teams from academia, industry and government labs participate annually to evaluate their systems. 

Created February 18, 2021, Updated February 25, 2021