Multimedia Evaluation Benchmark (MediaEval)
MediaEval 2020 Registration Now Open
https://multimediaeval.github.io
*******************************************************

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 2020 Tasks:

Emotion and theme recognition in music
Emotional Mario: Believable AI agents in video games
FakeNews detection on social media
Flood-related multimedia: Analyzing social media on natural disasters
Insight for wellbeing: Multimodal personal health lifelog data analysis
Medico medical multimedia
NewsImages: The role of images in online news
No-audio multimodal speech detection
Pixel privacy: Quality camouflage for social images
Predicting media memorability
Scene change: Fun faux photos
Sports video classification

For details of the tasks and information on how to register visit:
https://multimediaeval.github.io/editions/2020/

Tasks will start to release data at the end of July and submissions
will be due 31 October. The MediaEval 2020 workshop will be an online
event. It will be held at the beginning of December, exact dates to be
announced.  For more information see https://multimediaeval.github.io
or contact Martha Larson m.larson at cs.ru.nl