scholarly journals Application of Virtual Reality Technology in Film and Television Animation Based on Artificial Intelligence Background

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Yanrong Bao

The application of artificial intelligence technology in the film and television field has profoundly changed the content and production methods of television programs and promoted the development and production of a new generation of artificial intelligence television. The popularization of artificial intelligence technology is conducive to improving the quality of television program content, innovating content categories, reducing television program production cost, and improving production efficiency. Due to the popularization and the use of virtual reality (VR) technology in scientific research and social life, the application of VR technology has been studied from the perspective of film and television animation (FTA) teaching, hoping to promote the development of FTA education. First, the existing dynamic environment modeling technology, real-time three-dimensional (3D) graphic generation technology, stereoscopic display, and sensor technology and other VR technologies are combined to carry out teaching design. In view of the current situation of the teaching process of FTA major, the research on these four aspects has been carried out. VR technology is used as an auxiliary teaching tool to complete the basic course teaching of FTA; the 3D animation course and VR technology are combined to improve the teaching effect of professional skill courses. Then, in the application effect, classroom satisfaction, comprehensive quality evaluation, and professional core curriculum effect are compared and analyzed. The results show that the students’ comprehensive quality evaluation in VR technology group is significantly improved, and the satisfaction of classroom atmosphere, teaching mode, and teaching facilities are 75%, 61%, and 81%, respectively. The students in this group can better integrate the new design method into the animation modeling and complete the course design task with high quality. Compared with the traditional teaching mode, the students’ satisfaction is higher and the harvest is greater. Therefore, the use of VR technology in FTA teaching can stimulate students’ interest in learning, improve learning efficiency, and promote the mastery of professional knowledge and skills. The application mode and effect analysis of the proposed VR technology provide a reference for the application of VR technology in FTA teaching.

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1377 ◽  
Author(s):  
Zheng Xie

To enrich the form of film and television production, improve the level of film and television production, and satisfy the film-watching experiences of audiences, based on Virtual Reality (VR) and the Internet of Things (IoT) technology, with the help of S3 Studio Max and Photoshop software, a VR film-watching system is built, which realizes the interaction with users on different devices through somatosensory interaction sensors. In addition, by utilizing Twirling720, the panoramic sound recording is achieved. Through this system, a smart IoT platform between users, films, and devices is built. Finally, this platform is utilized to produce the film and television work Van Gogh in Dream, which is evaluated and analyzed through questionnaires. The results show that the technology system of this set of film and television production is complete, and the production level of film and television works have been significantly improved. The audience recognition of film and television production based on this technology is 55%, and the impression evaluation is over 56%. However, knowledge acquisition is only 20%, and historical understanding is above 50%. These dimensions show that compared with traditional film production, artificial intelligence films can bring a better experience to audiences, but knowledge acquisition is less. Therefore, professional knowledge will be improved at the later stage. The above results provide a theoretical basis for the application of artificial intelligence technology in film production and production mode.


Author(s):  
Wang Xi

Purposed to promote the development of artificial intelligence (AI) technology in the game field, this article adopts the literature analysis method and the case study method, analyzes the problems with virtual reality (VR) games and explores several popular VR game cases in China and abroad before summarizing the artistic characteristics of VR games. Artificial intelligence technology has brought a new creative mode to the game industry, while providing more suitable game content for players. Further, artificial intelligence technology can equip VR games with better game experience by analyzing players’ physiological and psychological information as well as players’ game strategies. Compared with traditional games, VR games can deliver better interactivity, deeper immersion and higher fidelity. However, VR games impose higher requirements on device data and space scale; in other words, they must meet specific requirements to provide better game experience. VR games also have monotonous game types and high prices. In the future, the integration of VR games with artificial intelligence would generate more profound game-player experiences and richer game contents.


2021 ◽  
Vol 2143 (1) ◽  
pp. 012008
Author(s):  
Zhanfeng Li

Abstract The traditional mechanical manufacturing process is to transform all raw materials into the final materials and products and directly into the international market all the production process, in this process we involved a lot of problems about decision-making methods, decision-making process is a most basic production technology activity, it is widely exists in the whole social life and each link of enterprise production. This paper studies the decision-making method of mechanical manufacturing process based on artificial intelligence, optimizes the process parameters of plastic integrated mechanical manufacturing process, and compares it with the traditional decision-making method. Finally, the experimental results are obtained that the traditional decision-based method is reduced by more than 10% in size error. But several experiments, the AI decision-making method appeared deviation, the error results are higher than the traditional decision-making method, which may be objective factors, but also reflects the possibility of instability, in the result of deformation. AI-based decision method performance is higher than the traditional decision-making method, reduce the deformation amount by 3.5%


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jun Li ◽  
Jiye Li ◽  
Yazhi Yang ◽  
Zhaoxu Ren

In order to solve the problems of low security and response efficiency and slow running speed of the current designed higher education system, a higher education system based on artificial intelligence technology is designed. Firstly, according to the characteristics of artificial intelligence technology, intelligent teaching system, agent technology, and data mining technology are introduced in detail. Then it analyzes the overall and detailed functional requirements of the system and adaptively generates knowledge content and teaching mode suitable for students’ ability and personality by using intelligent reasoning ability and the collection and analysis of students’ personality characteristics. Through data mining of intelligent teaching system, the decision tree about curriculum is obtained, and the students’ cognitive ability is calculated. Based on the theory of cognitive science, using the “double master” teaching mode, combined with agent technology and intelligent teaching system, the system function is divided into six modules. Through the design of database structure and data table, the design of higher education system based on artificial intelligence technology is realized. The experimental results show that the proposed method has high security and response efficiency, fast running speed, and good teaching effect.


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