Research Paper#Computer Vision, Video Analytics, Edge Computing🔬 ResearchAnalyzed: Jan 4, 2026 00:12
Hyperion: Low-Latency Ultra-HD Video Analytics Framework
Published:Dec 25, 2025 16:27
•1 min read
•ArXiv
Analysis
This paper introduces Hyperion, a novel framework designed to address the computational and transmission bottlenecks associated with processing Ultra-HD video data using vision transformers. The key innovation lies in its cloud-device collaborative approach, which leverages a collaboration-aware importance scorer, a dynamic scheduler, and a weighted ensembler to optimize for both latency and accuracy. The paper's significance stems from its potential to enable real-time analysis of high-resolution video streams, which is crucial for applications like surveillance, autonomous driving, and augmented reality.
Key Takeaways
- •Hyperion is a cloud-device collaborative framework for low-latency Ultra-HD video analytics.
- •It utilizes a collaboration-aware importance scorer, dynamic scheduler, and weighted ensembler.
- •The framework aims to overcome computational and transmission bottlenecks in processing high-resolution video.
- •Experiments show significant improvements in frame processing rate and accuracy compared to existing methods.
Reference
“Hyperion enhances frame processing rate by up to 1.61 times and improves the accuracy by up to 20.2% when compared with state-of-the-art baselines.”