Video Communication

Video communication research focuses on improving efficiency, quality, and user experience in transmitting video data, driven by the ever-increasing demand for real-time video applications. Current efforts explore novel compression techniques, such as prompt-based streaming and generative models for face video, alongside cross-layer optimization strategies for challenging network environments like vehicular ad-hoc networks (VANETs). These advancements leverage techniques like multiple description coding, adaptive bitrate control, and region-of-interest prioritization to enhance video quality and reduce latency, impacting fields ranging from autonomous driving to virtual collaboration. The integration of AI, particularly deep learning models, is a key trend, enabling intelligent features like language-based intent recognition to further improve communication effectiveness.