EVENTA: Event-Enriched Image Analysis Grand Challenge
EVENTA: Event-Enriched Image Analysis Grand Challenge (Proposal to be submitted)
The EVENTA Challenge at ACM Multimedia 2025 focuses on advancing image-caption retrieval and generation, with a goal to enrich image captions with contextual details related to events.
The challenge includes two main tasks:
Event-Enriched Image Captioning – Participants generate captions that go beyond simple visual descriptions by offering richer insights, including information about objects, context, and event significance.
Event-Based Image Retrieval – Given a caption, participants retrieve the corresponding image from a database, improving search efficiency and context-awareness in retrieval systems.
The challenge will release a dataset containing over 50,000 image-caption pairs curated from credible articles. The challenge emphasizes the integration of event-related context to generate richer image descriptions. Evaluation will be based on metrics like BLEU, ROUGE, CIDEr, and more for captioning, and precision and recall for retrieval.
Organizers
Trung-Nghia Le (University of Science, VNU-HCM, Vietnam) - Email: ltnghia@fit.hcmus.edu.vn
Tam V. Nguyen (University of Dayton, USA) - Email: tamnguyen@udayton.edu
Khanh-Duy Le (University of Science, VNU-HCM, Vietnam) - Email: lkduy@fit.hcmus.edu.vn
Phuc-Tan Nguyen (University of Science, VNU-HCM, Vietnam)
Trong-Hieu Nguyen (University of Science, VNU-HCM, Vietnam)
Quang Nguyen (University of Science, VNU-HCM, Vietnam)
Thien-Phuc Tran (University of Science, VNU-HCM, Vietnam)
Minh-Triet Tran (University of Science, VNU-HCM, Vietnam) - Email: tmtriet@fit.hcmus.edu.vn
Tentative Schedule
TBA
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