Video Stream

Video stream analysis focuses on efficiently processing and extracting information from continuous video data, addressing challenges in storage, bandwidth, and real-time processing. Current research emphasizes developing efficient compression techniques, often leveraging deep learning models like neural networks and LSTMs, to reduce data volume and improve Quality of Experience (QoE) while enabling real-time analytics such as anomaly detection and action recognition. These advancements are crucial for various applications, including surveillance, healthcare, and interactive entertainment, by improving resource utilization and enabling new capabilities in video-based services.