Compression Pipeline

Compression pipelines are optimized workflows for reducing the size of data, particularly images and videos, while preserving essential information for downstream tasks like machine learning or scientific analysis. Current research emphasizes integrating compression directly into machine learning pipelines, using neural networks (autoencoders, transformers, diffusion models) to achieve high compression ratios while maintaining accuracy for specific quantities of interest. This focus on efficient and effective compression is crucial for managing the ever-increasing volume of scientific and multimedia data, enabling broader accessibility and faster processing in various applications.