Published December 20, 2021
| Version v1
Conference paper
Open
Overview of The MediaEval 2021 Predicting Media Memorability Task
Creators
- 1. University of Essex, UK
- 2. University Politehnica of Bucharest, Romania
- 3. InterDigital, France
- 4. Dublin City University, Ireland
- 5. Massachusetts Institute of Technology, USA
Description
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.
Files
ME2021MemorabilityOverview.pdf
Files
(365.0 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:9887f28634d25affc05a33dcf05a15a3
|
365.0 kB | Preview Download |