Analysis of Application and Creation Skills of Story-Based MV Micro Video and Big Multimedia Data in Music Communication

Abstract

MV is an art type that uses TV pictures to supplement information and content that cannot be covered by music. With the rapid development of micro video technology and network technology, micro video has been rapidly popularized. Combining MV and micro video with mobile devices and platforms, it breaks the limitations of traditional movies, TV, and animation and becomes a new highlight of cultural communication in the new era. This paper starts with the selection of MV songs, story script, content design, MV shooting and editing skills, and introduces the specific creation methods of story MV in combination with local culture and proposes a music genre classification algorithm model DCNN-SSA based on spectral space domain feature concern. DCNN-SSA model effectively marks genre features of different music Mel spectrograms in the spatial domain and changes the network structure, thus improving the feature extraction effect while ensuring the validity of the model, thus improving the accuracy of music genre classification.