AUTHOR=Tang Wufeng 

TITLE=The Psychology Analysis for Post-production of College Students’ Short Video Communication Education Based on Virtual Image and Internet of Things

JOURNAL=Frontiers in Psychology

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.781802

DOI=10.3389/fpsyg.2022.781802

ISSN=1664-1078

ABSTRACT=To improve college students' understanding of film and television post-production in the era of intelligent media, a study is conducted on college students' film and television post-production education and audience psychology based on the rapid development of virtual image and the Internet of Things (IoT). Primarily, the collaborative filtering algorithm (CFA) is optimized and combined with the principle of Spark and Hadoop platforms, as well as IoT and virtual image technologies. Then, a hybrid computing model is proposed, and the two algorithms are improved and combined, with 90,000 network video records as data samples. Finally, the push accuracy of the hybrid algorithm and the traditional algorithm is calculated and compared and based on this, a questionnaire survey on the audience psychology of film and television production is carried out for college students. The results show that the time user of the combined algorithm is always at least 0.4s faster than that of a single algorithm, and the running speed of the algorithm with five nodes is nearly 80% higher than the algorithm with a single node. The Spark algorithm with multi-node has good versatility in image recording and processing of large groups of college students. When processing more than 100,000 image records, the deviation values of Spark and Hadoop with a single node have exceeded 1.1, but the deviation value of the hybrid algorithm is still lower than 1.1. With the increase of data volume, the deviation values of the three algorithms are increasing. Compared with the traditional CFA algorithm, the optimized algorithm has a higher speed in processing data and it is more accurate in contents-pushing. From the questionnaire survey of college students, it is found that contemporary college students are not active in learning knowledge of virtual images. Hence, it is concluded that colleges must carry out relevant courses based on film and television education and strengthen the film and television education of college students. A reference is provided for the development of college students' film and television education in the digital age.