Data compression is always required in large-scale time-varying volume visualization. In some recent application cases, the compression method is also required to include a low-cost decompression process. In this paper, we propose a compression scheme for large-scale time-varying volume data using spatio-temporal features. With this compression scheme, we can provide a proper compression ratio to satisfy many system environments by setting proper compression parameters. After the compression, we can also provide a low-cost and fast decompression process for the compressed data. Furthermore, we also achieve an accelerated rendering process for the decompressed data.