  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.
