User Generated Video

User-generated video (UGV) research focuses on analyzing and processing the massive volume of short-form videos uploaded to online platforms. Current efforts concentrate on improving content moderation (e.g., identifying inappropriate content for children), efficient video summarization (using graph-based algorithms and deep learning), and enhancing video quality assessment (through deep learning models trained on large datasets). These advancements are crucial for improving user experience, creating safer online environments, and enabling new applications like personalized assistance in augmented reality and improved video search functionality.