Working paper Open Access
Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?
Alba G. Seco de Herrera; Rukiye Savran Kiziltepe; Jon Chamberlain; Mihai Gabriel Constantin; Claire-Hélène Demarty; Faiyaz Doctor; Bogdan Ionescu; Alan F. Smeaton
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being proposed at MediaEval 2018, the Predicting Media Memorability task is in its 3rd edition this year, as the prediction of short-term and long-term video memorability (VM) remains a challenging task. In 2020, the format remained the same as in previous editions. This year the videos are a subset of the TRECVid 2019 Video-to-Text dataset, containing more action rich video content as compared with the 2019 task. In this paper a description of some aspects of this task is provided, including its main characteristics, a description of the collection, the ground truth dataset, evaluation metrics and the requirements for participants’ run submissions.
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- Publication date:
- June 21, 2021
- DOI:
-
- Keyword(s):
- Media Memorability Dataset Benchmarking
- Grants:
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European Commission:
- AI4Media - A European Excellence Centre for Media, Society and Democracy (951911)
- Meeting:
- MediaEval Multimedia Evaluation 2020, online, 14-15 December 2020
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International