The Use of Deep Learning and VR Technology in Film and Television Production From the Perspective of Audience Psychology

Frontiers in Psychology

Dong Chen¹  Weiran Cao²  Yangfan Tong³  Qian Sun⁴ 

[1]College of Business, Gachon University, Seoul, South Korea

[2]College of Network Communication, Zhejiang Yuexiu University of Foreign Languages, Shaoxing, China

[3]School of Art, Wuhan University, Wuhan, China

[4]School of Economics and Management, Southwest Petroleum University, Chengdu, China

关键词: AI technology;    convolutional neural network;    film and TV production;    Computer Graphics;    human-computer interaction;   

DOI  :  10.3389/fpsyg.2021.634993

来源: Frontiers

【 摘 要 】

As the development of artificial intelligence (AI) technology, the deep-learning (DL)-based Virtual Reality (VR) technology, and DL technology are applied in human-computer interaction (HCI), and their impacts on modern film and TV works production and audience psychology are analyzed. In film and TV production, audiences have a higher demand for the verisimilitude and immersion of the works, especially in film production. Based on this, a 2D image recognition system for human body motions and a 3D recognition system for human body motions based on the convolutional neural network (CNN) algorithm of DL are proposed, and an analysis framework is established. The proposed systems are simulated on practical and professional datasets, respectively. The results show that the algorithm's computing performance in 2D image recognition is 7–9 times higher than that of the Open Pose method. It runs at 44.3 ms in 3D motion recognition, significantly lower than the Open Pose method's 794.5 and 138.7 ms. Although the detection accuracy has dropped by 2.4%, it is more efficient and convenient without limitations of scenarios in practical applications. The AI-based VR and DL enriches and expands the role and application of computer graphics in film and TV production using HCI technology theoretically and practically.

【 授权许可】

CC BY