Online Streaming

Online streaming research focuses on optimizing the delivery and processing of various data types, including audio, video, and text, in real-time. Current efforts concentrate on improving the efficiency and accuracy of streaming models, employing architectures like transformers and conformers, and refining algorithms such as Connectionist Temporal Classification (CTC) and knowledge distillation for tasks such as speech recognition and video super-resolution. These advancements are crucial for enhancing user experience in applications ranging from video conferencing and autonomous driving to personalized media streaming and large language model interactions. The development of efficient streaming algorithms also addresses challenges in resource-constrained environments, such as edge computing and mobile devices.