1. Cloud Video Compression
Research video coding to improve compression efficiency, lowering bandwidth and storage costs. Optimize encoding algorithms for real-time, high-quality streaming and playback to enhance QoE.
2. Real-Time Audio-Video Communication
Develop real-time A/V technologies that deliver high quality across heterogeneous networks. Design low-latency, interference-resilient protocols and algorithms to improve stability and reliability.
3. Video Content Moderation and Enhancement
Advance intelligent moderation and enhancement using machine learning and image/video processing. Enable automated review, classification, and optimization— including denoising, enhancement, and restoration— to improve content quality and usability.
4. Multi-Modal Collaborative Perception and Computing
This research targets UAV platforms, advancing robust perception, multi-modal information fusion, and collaborative computing by integrating multi-source heterogeneous data such as visible and infrared imagery to enhance all-scenario, all-weather sensing capabilities. It explores edge–cloud collaborative architectures for efficient model deployment and compute synergy, empowering intelligent analysis and decision-making in low-altitude economy, smart city, and emergency response applications.
China Telecom Cloud Computing Research Institute Beijing Headquarters
(No. 42, Xueyuan Road, Haidian District, Beijing)
China Telecom Cloud Computing Research Institute Shanghai Branch (No. 211, Century Avenue, Pudong New Area, Shanghai)
Beijing Public Security Registration No. 11040140060 | Beijing ICP No. 12007914
Value-Added Telecommunications Business Operation License A2.B1.B2-20090001
1. Cloud Video Compression
Research video coding to improve compression efficiency, lowering bandwidth and storage costs. Optimize encoding algorithms for real-time, high-quality streaming and playback to enhance QoE.
2. Real-Time Audio-Video Communication
Develop real-time A/V technologies that deliver high quality across heterogeneous networks. Design low-latency, interference-resilient protocols and algorithms to improve stability and reliability.
3. Video Content Moderation and Enhancement
Advance intelligent moderation and enhancement using machine learning and image/video processing. Enable automated review, classification, and optimization— including denoising, enhancement, and restoration— to improve content quality and usability.
4. Multi-Modal Collaborative Perception and Computing
This research targets UAV platforms, advancing robust perception, multi-modal information fusion, and collaborative computing by integrating multi-source heterogeneous data such as visible and infrared imagery to enhance all-scenario, all-weather sensing capabilities. It explores edge–cloud collaborative architectures for efficient model deployment and compute synergy, empowering intelligent analysis and decision-making in low-altitude economy, smart city, and emergency response applications.
