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The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video analysisand retrieval evaluation with the goal of promoting progress in research anddevelopment of content-based exploitation and retrieval of information fromdigital video via open, metrics-based evaluation. Over the last twenty yearsthis effort has yielded a better understanding of how systems can effectivelyaccomplish such processing and how one can reliably benchmark theirperformance. TRECVID has been funded by NIST (National Institute of Standardsand Technology) and other US government agencies. In addition, manyorganizations and individuals worldwide contribute significant time and effort.TRECVID 2020 represented a continuation of four tasks and the addition of twonew tasks. In total, 29 teams from various research organizations worldwidecompleted one or more of the following six tasks: 1. Ad-hoc Video Search (AVS),2. Instance Search (INS), 3. Disaster Scene Description and Indexing (DSDI), 4.Video to Text Description (VTT), 5. Activities in Extended Video (ActEV), 6.Video Summarization (VSUM). This paper is an introduction to the evaluationframework, tasks, data, and measures used in the evaluation campaign.

TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains