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TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains., , , , , , , , , and 7 other author(s). CoRR, (2021)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)2020 Sequestered Data Evaluation for Known Activities in Extended Video: Summary and Results., , , , , , , , and . WACV (Workshops), page 51-59. IEEE, (2021)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)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)