The use of multiple entropy models for Huffman or arithmetic coding is widely used to improve the compression efficiency of many algorithms when the source probability distribution varies. However, ...

Abstract: Learned image compression has shown remarkable compression efficiency gain over the traditional image compression solutions, which is partially attributed to the learned entropy models and ...

Abstract: Entropy-driven network coding has been used as a basis for optimizing data transmission and enhancing resource utilization in fog-cloud IoT architectures, including applications in smart ...