Application of Big Digital Media Data Compression Recognition Algorithm in Modern Art Design Training Intelligence

Application of big digital media data compression recognition algorithm in modern art design training intelligence is studied in the paper. There is an aggregation effect on the information represented by the same kind of data, and a distancing effect on the information represented by different types of data, which confirms the point of this paper, that is, the essence of classification is to “identify the differences between species and the similarities within the species”, while the data amount is large enough. Further, the big data compression algorithm and cultural image recognition algorithm are designed. MFS is a dedicated file system for virtualized clusters, while neither traditional NTFS nor ext3 are dedicated file systems for virtualized clusters. With these enhanced ideas, the performance of the model is then tested.