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arXiv · 2012.15650

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

Alba García Seco De Herrera·Rukiye Savran Kiziltepe·Jon Chamberlain·Mihai Gabriel Constantin·Claire-Hélène Demarty·Faiyaz Doctor·Bogdan Ionescu·Alan F. Smeaton
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Abstract

This paper describes the MediaEval 2020 \textit{Predicting 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.

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Alba García Seco De Herrera, Rukiye Savran Kiziltepe, Jon Chamberlain, Mihai Gabriel Constantin, Claire-Hélène Demarty, Faiyaz Doctor, Bogdan Ionescu, Alan F. Smeaton. 2020-12-31. Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?. https://arxiv.org/abs/2012.15650

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