Event-Enriched Image Analysis Grand Challenge At ACM Multimedia 2025 Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1145/3746027.3762067
The Event-Enriched Image Analysis (EVENTA) Grand Challenge, hosted at ACM Multimedia 2025, introduces the first large-scale benchmark for event-level multimodal understanding. Traditional captioning and retrieval tasks largely focus on surface-level recognition of people, objects, and scenes, often overlooking the contextual and semantic dimensions that define real-world events. EVENTA addresses this gap by integrating contextual, temporal, and semantic information to capture the who, when, where, what, and why behind an image. Built upon the OpenEvents V1 dataset, the challenge features two tracks: Event-Enriched Image Retrieval and Captioning, and Event-Based Image Retrieval. A total of 45 teams from six countries participated, with evaluation conducted through Public and Private Test phases to ensure fairness and reproducibility. The top three teams were invited to present their solutions at ACM Multimedia 2025. EVENTA establishes a foundation for context-aware, narrative-driven multimedia AI, with applications in journalism, media analysis, cultural archiving, and accessibility. Further details about the challenge are available at the official homepage: https://ltnghia.github.io/eventa/eventa-2025.
Related Topics
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1145/3746027.3762067
- OA Status
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- References
- 5
- OpenAlex ID
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Raw OpenAlex JSON
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https://doi.org/10.1145/3746027.3762067Digital Object Identifier
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Event-Enriched Image Analysis Grand Challenge At ACM Multimedia 2025Work title
- Type
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
- Publication date
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2025-10-25Full publication date if available
- Authors
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Thien-Phuc Tran, M. Nguyen, Minh–Triet Tran, Tam Nguyen, Trong-Le Do, Duy-Nam Ly, Viet-Tham Huynh, Khanh-Duy Le, Mai-Khiem Tran, Trung-Nghia LeList of authors in order
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https://arxiv.org/pdf/2508.18904Direct OA link when available
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0Total citation count in OpenAlex
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| best_oa_location.is_published | False |
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| primary_location.id | doi:10.1145/3746027.3762067 |
| primary_location.is_oa | False |
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| primary_location.raw_source_name | Proceedings of the 33rd ACM International Conference on Multimedia |
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| publication_date | 2025-10-25 |
| publication_year | 2025 |
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