Overview of The MediaEval 2021 Predicting Media Memorability Task

12/11/2021
by   Rukiye Savran Kiziltepe, et al.
0

This paper describes the MediaEval 2021 Predicting Media Memorabilitytask, 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.

READ FULL TEXT

page 1

page 2

page 3

research
12/31/2020

Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?

This paper describes the MediaEval 2020 Predicting Media Memorability ta...
research
12/13/2022

Overview of The MediaEval 2022 Predicting Video Memorability Task

This paper describes the 5th edition of the Predicting Video Memorabilit...
research
12/15/2021

Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability

The aim of the Memorability-EEG pilot subtask at MediaEval'2021 is to pr...
research
12/15/2021

Predicting Media Memorability: Comparing Visual, Textual and Auditory Features

This paper describes our approach to the Predicting Media Memorability t...
research
12/31/2020

Investigating Memorability of Dynamic Media

The Predicting Media Memorability task in MediaEval'20 has some challeng...
research
12/07/2022

Experiences from the MediaEval Predicting Media Memorability Task

The Predicting Media Memorability task in the MediaEval evaluation campa...
research
12/11/2014

The bag-of-frames approach: a not so sufficient model for urban soundscapes

The "bag-of-frames" approach (BOF), which encodes audio signals as the l...

Please sign up or login with your details

Forgot password? Click here to reset