Post Compression Bitstream

Post-compression bitstream analysis focuses on extracting information directly from compressed data streams (e.g., video, audio) without full decompression, aiming to improve efficiency and speed in various applications. Current research employs neural networks, particularly recurrent architectures like NARX networks, and novel techniques like "centrifuge mechanisms" to analyze these bitstreams for tasks such as quality estimation, classification, and even feature recovery from corrupted data. This approach offers significant advantages in speed and resource consumption, impacting fields like multimedia processing, video conferencing, and cybersecurity through faster analysis and improved resource efficiency.