MediaEval 2021

Multimedia Evaluation Benchmark 2021

Submission deadline: 22. November 2021

Location: Hybrid workshop - Bergen, Norway and Online
Dates: 06. December 2021 -08. December 2021

More information:

Sponsored by ACM SIGMM

Multimedia Evaluation Benchmark (MediaEval)
MediaEval 2021 Registration Now Open

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:

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 or contact Martha Larson m.larson at or Steven Hicks steven at

On behalf on the MediaEval organization team,

Gabi Constantin
Researcher at:
Personal page:
AI Multimedia Lab:
CAMPUS Research Center:
University Politehnica of Bucharest

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