Overview of The MediaEval 2021 Predicting Media Memorability Task
This is an incremental task for researchers in multimedia and AI to benchmark memorability prediction methods.
The paper describes the MediaEval 2021 task for predicting short-term and long-term video memorability, using two datasets including TRECVid 2019 and Memento10K, and introduces an EEG-based prediction pilot subtask.
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.