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.

翻译：本文介绍今年第四版的MediaEval 2021 预测媒体记忆值(MediaEval 2021),因为预测短期和长期视频记忆仍是一项艰巨的任务。2021年,使用了两套视频数据集:第一,是2019年电视视频到图文数据集的一个子集;第二,Memento10K数据集,以提供机会探索交叉数据集的概括性。此外,还采用了基于电脑物理的预测试点子任务。我们在本文件中概述了任务的主要方面,并描述了数据集、评价指标和参与者提交材料的要求。