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Multimedia Evaluation Benchmark (MediaEval 2023)
<div class="ContentPasted0">2nd Call for Participation</div>
<div class="ContentPasted0">https://multimediaeval.github.io/editions/2023/</div>
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<div class="ContentPasted0">The MediaEval Multimedia Evaluation benchmark offers innovative challenges that are of interests to researchers in the areas of NLP, IR, computer vision, and multimedia. Registration is now open! (Submissions will be due in November.)
This year’s tasks are: </div>
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<div class="ContentPasted0">- Musti: Multimodal Understanding of Smells in Texts and Images</div>
<div class="ContentPasted0">https://multimediaeval.github.io/editions/2023/tasks/musti/</div>
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<div class="ContentPasted0">- NewsImages: Relating news articles and images</div>
<div class="ContentPasted0">https://multimediaeval.github.io/editions/2023/tasks/newsimages/</div>
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<div class="ContentPasted0">- Sports Video: Fine Grained Action Classification and Position Detection in Table Tennis and Swimming Videos</div>
<div class="ContentPasted0">https://multimediaeval.github.io/editions/2023/tasks/sportsvideo/</div>
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<div class="ContentPasted0">- Memorability: Predicting Video Memorability</div>
<div class="ContentPasted0">https://multimediaeval.github.io/editions/2023/tasks/memorability/</div>
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<div class="ContentPasted0">- Medico: Medical Multimedia Task: Transparent Tracking of Spermatozoa</div>
<div class="ContentPasted0">https://multimediaeval.github.io/editions/2023/tasks/medico/</div>
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<div class="ContentPasted0">MediaEval places special emphasis on gaining insight into data and algorithms and moving forward the state of the art on tasks that are novel or unexpectedly challenging, due to the nature of the data or to a limited quantity of
labels. The overall mission of MediaEval is to support reproducible research that makes multimedia a positive force for society.</div>
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<div class="ContentPasted0">Results are presented at the next edition of the yearly MediaEval workshop, which will take place in Amsterdam, Netherlands 1-2 February 2024, co-located with the 30th International Conference on Multimedia Modeling, MMM2024 (https://mmm2024.org/).
The workshop will provide an opportunity for online participation.</div>
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<div class="ContentPasted0">Best regards,</div>
<div class="ContentPasted0">On behalf of the MediaEval organizers,</div>
Gabi Constantin<br>
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