Conference paper Open Access
Overview of The MediaEval 2021 Predicting Media Memorability Task
R.S. Kiziltepe; M.G. Constantin; C.H. Demarty; G. Healy; C. Fosco; A.G.S. de Herrera; S. Halder; B. Ionescu; A. Matran-Fernandez; A.F. Smeaton; L. Sweeney
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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- Publication date:
- December 20, 2021
- DOI:
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- Grants:
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European Commission:
- AI4Media - A European Excellence Centre for Media, Society and Democracy (951911)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International