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ISCApad Archive  »  2022  »  ISCApad #283  »  Academic and Industry Notes  »  Multimedia Evaluation Benchmark (MediaEval)

ISCApad #283

Monday, January 10, 2022 by Chris Wellekens

4-5 Multimedia Evaluation Benchmark (MediaEval)

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


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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