The Application of the Automatic Generation Algorithm of Traditional Cultural Documentaries in the Cluster Dissemination of Campus Cultural Paths

Based on deep learning and machine learning algorithms, this paper proposes an automatic generation algorithm for documentaries that uses parallel data detection and image frame extraction. Data mining is used to extract features from pictures, intelligently identify natural environment, animals and plants, and perform intelligent frame extraction. Then, the machine learning algorithm is used to generate high frame rate nature documentaries and humanistic documentaries, and then cultural edification and intelligent identification are carried out in the intelligent communication channel of campus culture. The experiment shows that the effect of documentaries is increased by 7.3%, and the communication efficiency reaches 67.3%.