标题： VQualA 2025 短视频参与度预测挑战赛：方法与结果 显示英文标题

标题： VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results

摘要： 本文介绍了在ICCV 2025期间举办的VQualA 2025挑战赛关于短视频参与度预测的概述。 该挑战赛聚焦于理解和建模社交媒体平台上用户生成内容（UGC）短视频的流行度。 为了支持这一目标，挑战赛使用了一个新的短格式UGC数据集，该数据集包含从真实用户交互中得出的参与度指标。 挑战赛的目标是促进能够捕捉影响用户参与度的复杂因素的稳健建模策略。 参赛者探索了多种多模态特征，包括视觉内容、音频和创作者提供的元数据。 该挑战赛吸引了97名参赛者，并收到了15份有效的测试提交，对短格式UGC视频参与度预测的进步做出了重要贡献。 显示英文摘要

摘要： This paper presents an overview of the VQualA 2025 Challenge on Engagement Prediction for Short Videos, held in conjunction with ICCV 2025. The challenge focuses on understanding and modeling the popularity of user-generated content (UGC) short videos on social media platforms. To support this goal, the challenge uses a new short-form UGC dataset featuring engagement metrics derived from real-world user interactions. This objective of the Challenge is to promote robust modeling strategies that capture the complex factors influencing user engagement. Participants explored a variety of multi-modal features, including visual content, audio, and metadata provided by creators. The challenge attracted 97 participants and received 15 valid test submissions, contributing significantly to progress in short-form UGC video engagement prediction.