mlsanityData to 7 Oct 2026

Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?

arXiv 2012.15650 ↗First posted 31 Dec 2020cs.MM cs.AI cs.CVcited by 11

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Abstract (arXiv)

This paper describes the MediaEval 2020 textitPredicting Media Memorability task. After first being proposed at MediaEval 2018, the Predicting Media Memorability task is in its 3rd edition this year, as the prediction of short-term and long-term video memorability (VM) remains a challenging task. In 2020, the format remained the same as in previous editions. This year the videos are a subset of the TRECVid 2019 Video-to-Text dataset, containing more action rich video content as compared with the 2019 task. In this paper a description of some aspects of this task is provided, including its main characteristics, a description of the collection, the ground truth dataset, evaluation metrics and the requirements for participants' run submissions.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Dec 2020.

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Citing papers per year: 2021: 6; 2022: 3; 2023: 1; 2024: 1.

11 papers.