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arXiv · 2112.05982

Overview of The MediaEval 2021 Predicting Media Memorability Task

Rukiye Savran Kiziltepe·Mihai Gabriel Constantin·Claire-Helene Demarty·Graham Healy·Camilo Fosco·Alba Garcia Seco de Herrera·Sebastian Halder·Bogdan Ionescu·Ana Matran-Fernandez·Alan F. Smeaton·Lorin Sweeney
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Abstract

This paper describes the MediaEval 2021 Predicting Media Memorability}task, which is in its 4th edition this year, as the prediction of short-term and long-term video memorability remains a challenging task. In 2021, two datasets of videos are used: first, a subset of the TRECVid 2019 Video-to-Text dataset; second, the Memento10K dataset in order to provide opportunities to explore cross-dataset generalisation. In addition, an Electroencephalography (EEG)-based prediction pilot subtask is introduced. In this paper, we outline the main aspects of the task and describe the datasets, evaluation metrics, and requirements for participants' submissions.

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Rukiye Savran Kiziltepe, Mihai Gabriel Constantin, Claire-Helene Demarty, Graham Healy, Camilo Fosco, Alba Garcia Seco de Herrera, Sebastian Halder, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Lorin Sweeney. 2021-12-11. Overview of The MediaEval 2021 Predicting Media Memorability Task. https://arxiv.org/abs/2112.05982

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