[CfP] Call for Participation: MediaEval Benchmark (register now)

[Gabi Constantin]

Multimedia Evaluation Benchmark (MediaEval 2026)

Call for Participation

https://multimediaeval.github.io/editions/2026/ 

The MediaEval Multimedia Evaluation benchmark offers innovative challenges that are of interest to researchers in the areas of NLP, IR, AI, computer vision, and multimedia. Registration is now open! (Submissions will be due in September.) This year’s tasks are:  

- Medico: VQA (with multimodal explanations) for gastrointestinal imaging

https://multimediaeval.github.io/editions/2026/tasks/medico/ 

- Memorability: Predicting movie and commercial memorability

https://multimediaeval.github.io/editions/2026/tasks/memorability/ 

- MultiSumm: Multimodal summarization of multiple topically related websites

https://multimediaeval.github.io/editions/2026/tasks/multisumm/ 

- Missing Pieces and Misinformation: Identifying social media posts with implicit messages
https://multimediaeval.github.io/editions/2026/tasks/enthymeme/

- NewsImages: Retrieval and generative AI for news thumbnails

https://multimediaeval.github.io/editions/2026/tasks/newsimages/ 

- Synthetic Images: Advancing detection of generative AI used in real-world online images

https://multimediaeval.github.io/editions/2026/tasks/synthim/ 

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.

Runs will be due at the beginning of May 2026. Results will be presented at the next edition of the yearly MediaEval workshop, which will take place in Amsterdam, Netherlands, Mon.-Tue. 15-16 June 2026, co-located with ACM ICMR 2026. The workshop will provide an opportunity for online participation.

On behalf of the organizers,

Mihai Gabriel Constantin