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Subject:
From:
Martha Larson - EWI <[log in to unmask]>
Reply To:
Martha Larson - EWI <[log in to unmask]>
Date:
Mon, 29 Apr 2019 21:36:12 +0000
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MediaEval 2019: Multimedia Research Challenges
Register now: Data releases are beginning
Last day for regular registration: 30 June
http://multimediaeval.org/mediaeval2019
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MediaEval (Benchmarking Initiative for Multimedia Evaluation) offers shared-tasks to the multimedia research community involving images, text, video, music and speech. The tasks address cutting-edge multimedia challenges (multimedia mining, retrieval, analysis, access and exploration) with a clear human or social aspect. Our larger aim is to promote reproducible research that makes multimedia a positive force for society.

Further information and the link for registration to participate in the tasks is available at: http://multimediaeval.org/mediaeval2019
Short descriptions of the 2019 tasks are below. 

The MediaEval 2019 Workshop will take place 27-29 October 2019 near Nice, France. (The workshop is scheduled so that participants can combine the workshop with attendance at ACM Multimedia https://www.acmmm.org/2019 in one trip, if they wish.)

Emotion and Theme recognition in music using Jamendo
Recognize emotions and themes conveyed in music recordings (large-scale data set).
http://multimediaeval.org/mediaeval2019/music 

Eyes and Ears Together: Multimodal coreference resolution
Analyze videos to predict bounding boxes corresponding to nouns and pronouns in the videos’ speech transcripts. 
http://multimediaeval.org/mediaeval2019/eyesears

GameStory: Video Game Analytics Challenge
Analyze game streams (including audio and video streams, commentaries, game data and statistics, interaction traces, viewer-to-viewer communication) to carry out synchronization and event detection. 
http://multimediaeval.org/mediaeval2019/gamestory

Insight for Wellbeing: Multimodal personal health lifelog data analysis
Analyze lifelogs (lifelog images, user-contributed tags, sensor readings, weather/pollution information) to automatically make well-being related predictions.
http://multimediaeval.org/mediaeval2019/wellbeing

Medico Medical Multimedia
Analyze a multimodal dataset (videos, analysis data, study participant data) to make predictions related to sperm quality.
http://multimediaeval.org/mediaeval2019/medico

Multimedia Recommender Systems
Participants can choose between one of two tasks that investigate the use of multimedia content for recommendation. 
http://multimediaeval.org/mediaeval2019/mmrecsys

Multimedia Satellite Task: Flood Severity Estimation
Analyze news reports (images/text) and/or satellite images for information important for disaster management.
http://multimediaeval.org/mediaeval2019/multimediasatellite

No-audio Multimodal Speech Detection
Participants receive videos (top view) and sensor readings (acceleration and proximity) of people having conversations in a natural social setting and are required to detect speaking turns. http://multimediaeval.org/mediaeval2019/speakerturns

Pixel Privacy
http://multimediaeval.org/mediaeval2019/pixelprivacy
Participants receive a set of images and are required to enhance them in a way that blocks automatic inference of sensitive information, while preserving image appeal. See: https://youtu.be/zShHPVOA070

Predicting Media Memorability
http://multimediaeval.org/mediaeval2019/memorability
Given a data set of multimedia content (images and/or videos) and associated memorability annotations, automatically train a system to predict memorability.

Scene Change (Brave New Task)
http://multimediaeval.org/mediaeval2019/scenechange
Automatically create fun faux photo’s, composite images that fool you at first, but can be identified as an imitation on closer inspection. 

Sports Video Annotation: Detection of Strokes in Table Tennis (Brave New Task)
http://multimediaeval.org/mediaeval2019/sports
Automatically classify strokes in videos of table tennis.

NewsFire: Discovering the triggers for viral news stories (Task force)
Participants receive a large corpus of news stories and social media posts (text and images) and are required to build a system that detects the original triggers of news that spread with a viral or wildfire pattern. 

For more information on the mission of MediaEval check out the videos and proceedings from previous workshops, e.g., http://multimediaeval.org/mediaeval2018

If you have further questions, please contact: Martha Larson [log in to unmask]

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