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Multimedia Evaluation Benchmark (MediaEval) 

MediaEval 2021 Registration Now Open 

https://multimediaeval.github.io 

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The Multimedia Evaluation Benchmark (MediaEval) offers challenges in the form 
of shared tasks. The goal of MediaEval is to develop and evaluate new 
algorithms and technologies for multimedia retrieval, analysis and exploration. 
MediaEval tasks are innovative, involving multiple modalities, (e.g., images, 
video, music, user interaction data, sensor data, lifelogging data) and 
focusing on the human and social aspects of multimedia. Our larger aim is to 
promote reproducible research that makes multimedia a positive force for 
society. 


MediaEval 2021 Tasks: 


Driving Road Safety Forward: Video Data Privacy 

Emerging News: Detecting emerging stories from social media and news feeds 

Emotional Mario: A Games Analytics Challenge 

Emotions and Themes in Music 

FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task 

Insight for Wellbeing: Cross-Data Analytics for (transboundary) Haze Prediction 

Medico: Transparency in Medical Image Segmentation 

NewsImages: The relation between images and text in news articles 

Predicting Media Memorability 

Sports Video: Fine Grained Action Detection and Classification of Table Tennis 
Strokes from videos 

Visual Sentiment Analysis: A Natural Disaster Use-case 

WaterMM: Water Quality in Social Multimedia 


For details of the tasks and information on how to register visit: 
https://multimediaeval.github.io/editions/2021/ 


Tasks will start to release data at the end of July and continue through 
August. Submissions will be due in early November. The MediaEval 2021 Workshop 
is a hybrid workshop that will take place in Bergen, Norway 6-8 December 2021 
and also provide an opportunity for online participation. 

For more information see https://multimediaeval.github.io or contact Martha 
Larson m.larson at cs.ru.nl or Steven Hicks [ mailto:ste...@simula.no | 
ste...@simula.no ] 




On behalf on the MediaEval organization team, Gabi Constantin Researcher at: 
Personal page: http://gconstantin.aimultimedialab.ro/ AI Multimedia Lab: 
https://www.aimultimedialab.ro/ CAMPUS Research Center: 
http://www.campus.pub.ro/ University Politehnica of Bucharest 
https://upb.ro/en/ 
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