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We are happy to announce the tasks that will be offered in 2025. Please watch this website for more detailed task information that will be posted soon.
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##### MediaEval 2025 Schedule:
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###### Synthetic Images: Advancing detection of generative AI used in real-world online images
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##### Synthetic Images: Advancing detection of generative AI used in real-world online images
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The goal of this challenge is to develop AI models capable of detecting synthetic images and identifying the specific regions in the images that have been manipulated or synthesized. Approaches will be tested on images synthesized with state-of-the-art approaches and collected from real-world settings online.
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######MultiSumm: Multimodal summarization of multiple topically related websites
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##### MultiSumm: Multimodal summarization of multiple topically related websites
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Participants are provided with multimodal web content from several cities listing food sharing initiatives (FSIs) in each city. For each city, participants are tasked with creating a multimodal summary of the FSI activities in the city which satisfy specified criteria. Evaluation will explore the use of emerging LLMs-based methods in automated assessment of multimodal multi-document summarization.
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######NewsImages: Retrieval and generative AI for news thumbnails
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##### NewsImages: Retrieval and generative AI for news thumbnails
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Participants receive a large set of articles (including the headline and article lead) in the English-language from international publishers. We offer two subtasks: retrieving an image for each article from a collection of images that can serve as a thumbnail, or generating an article thumbnail.
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######Memorability: Predicting the memorability of movie clips and commercial videos
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##### Memorability: Predicting the memorability of movie clips and commercial videos
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The goal of this task is to predict the memorability of media items. For the memorability task, we provide movie excerpts, tasking teams with inferring how memorable videos are based on visual or EEG features, and commercial videos with the purpose of inferring the memorability of videos and the brands present in the videos.
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######Medico: VQA for gastrointestinal imaging
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##### Medico: VQA for gastrointestinal imaging
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The goal is to use Visual Question Answering (VQA) to interpret and answer questions based on gastrointestinal images, aiming to enhance decision support and improve AI-driven medical decision-making. We provide a gastrointestinal dataset containing images and videos with VQA labels and additional metadata.
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