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TRECVID 2019: An evaluation campaign to benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & retrieval., , , , , , , , , and 4 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2019)Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow., and . CVPR, page 1846-1853. IEEE Computer Society, (2013)TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains., , , , , , , , , and 7 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2020)V3C - A Research Video Collection., , , and . MMM (1), volume 11295 of Lecture Notes in Computer Science, page 349-360. Springer, (2019)Performance evaluation of state-of-the-art discrete symmetry detection algorithms., , , , , and . CVPR, IEEE Computer Society, (2008)TRECVID 2018: Benchmarking Video Activity Detection, Video Captioning and Matching, Video Storytelling Linking and Video Search., , , , , , , , , and 5 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2018)Multiple Target Tracking Using Frame Triplets., and . ACCV (3), volume 7726 of Lecture Notes in Computer Science, page 163-176. Springer, (2012)An overview on the evaluated video retrieval tasks at TRECVID 2022., , , , , , , , , and 2 other author(s). CoRR, (2023)TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval., , , , , , , , , and 4 other author(s). CoRR, (2020)The 2022 NIST Language Recognition Evaluation., , , , , , , and . CoRR, (2023)