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Overview of MediaEval 2020 Predicting Media Memorability task: What does it Make a Video Memorable?

Garcia Seco De Herrera, Alba and Savran Kiziltepe, Rukiye and Chamberlain, Jon and Constantin, Mihai Gabriel and Claire-Hélène, Demarty and Doctor, Faiyaz and Ionescu, Bogdan and Smeaton, Alan F (2020) Overview of MediaEval 2020 Predicting Media Memorability task: What does it Make a Video Memorable? In: MediaEval 2020 Multimedia Benchmark Workshop 2020, 2020-12-14 - 2020-12-15, Online.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 27 Sep 2022 13:53
Last Modified: 27 Sep 2022 13:53
URI: http://repository.essex.ac.uk/id/eprint/32078

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