Compression Standard

Compression standards aim to reduce data size while preserving acceptable quality, impacting diverse applications from video streaming to robotics. Current research focuses on improving compression efficiency for various data types (video, images, stereo images) through advanced techniques like bidirectional coding, deep learning models (CNNs and Transformers), and implicit neural representations. These advancements are crucial for optimizing bandwidth usage in numerous fields, improving user experience in multimedia applications, and enabling efficient data transmission in resource-constrained environments like autonomous systems. The development of robust quality assessment methods is also a key area of ongoing research.