Video Streaming

Video streaming research focuses on optimizing the delivery and processing of video content across diverse platforms and applications, aiming to improve quality of experience (QoE) and efficiency. Current efforts concentrate on developing adaptive bitrate algorithms, employing novel neural network architectures (like transformers and convolutional networks) for tasks such as real-time object detection, 3D model streaming, and video understanding, and exploring techniques to reduce bandwidth consumption and latency. These advancements have significant implications for various fields, including autonomous driving, extended reality, and telemedicine, by enabling more efficient and reliable video-based services.