Overview of The MediaEval 2021 Predicting Media Memorability Task
Rukiye Savran Kızıltepe, Mihai Gabriel Constantin, Claire-Hélène Demarty, Graham F. Healy, Camilo L. Fosco, Alba García Seco de Herrera, Sebastian Halder, Bogdan Emanuel Ionescu, Ana Matran‐Fernandez, Alan F. Smeaton, Lorin Sweeney · arXiv (Cornell University) · 2021
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.