Video Encoder

Video encoders are algorithms that compress video data for efficient storage and transmission, while also enabling efficient processing for various downstream tasks like video understanding and action detection. Current research focuses on improving encoding efficiency (e.g., through lightweight hybrid codecs and optimized DCT approximations), enhancing video quality at lower bitrates (e.g., using two-pass learning for rate factor prediction), and integrating video encoders into larger multimodal models for tasks such as video captioning and question answering. These advancements are crucial for handling the ever-increasing volume of video data generated by robotics, surveillance, and other applications, and are driving progress in fields ranging from computer vision to natural language processing.