Lin Cui

Bio: Lin Cui is an academic researcher. The author has contributed to research in topics: Artificial intelligence & Computer science. The author has an hindex of 1, co-authored 1 publications receiving 3 citations.

Film Effect Optimization by Deep Learning and Virtual Reality Technology in New Media Environment

Abstract: Today, new media technology has widely penetrated art forms such as film and television, which has changed the way of visual expression in the new media environment. To better solve the problems of weak immersion, poor interaction, and low degree of simulation, the present work uses deep learning technology and virtual reality (VR) technology to optimize the film playing effect. Firstly, the optimized extremum median filter algorithm is used to optimize the “burr” phenomenon and a low compression ratio of the single video image. Secondly, the Generative Adversarial Network (GAN) in deep learning technology is used to enhance the data of the single video image. Finally, the decision tree algorithm and hierarchical clustering algorithm are used for the color enhancement of VR images. The experimental results show that the contrast of a single-frame image optimized by this system is 4.21, the entropy is 8.66, and the noise ratio is 145.1, which shows that this method can effectively adjust the contrast parameters to prevent the loss of details and reduce the dazzling intensity. The quality and diversity of the specific types of images generated by the proposed GAN are improved compared with the current mainstream GAN method with supervision, which is in line with the subjective evaluation results of human beings. The Frechet Inception Distance value is also significantly improved compared with Self-Attention Generative Adversarial Network. It shows that the sample generated by the proposed method has precise details and rich texture features. The proposed scheme provides a reference for optimizing the interactivity, immersion, and simulation of VR film.

Adaptive 3D and VFX Films Virtual Learning Environments

Abstract: In this study, the analysis of the topic “Adaptive 3D and VFX Films Virtual Learning” has been provided. As virtual learning and 3D technologies use are increasing, the interest in their learning in academic discussion is increasing daily. However, there are various drawbacks to the use of3D for learning environments. To solve this drawback, the use of adaptive learning environments is increasing more, such as an environment that can dynamically adapt to the learner and the activities that can be performed by that specific learner. As the new ways of learning have been increasing over the past years (in the times of the COVID-19 Pandemic) through the use of computers in the educational sector. The learning environment has been widely adopted by the educational sectors in the case of obtaining promising outcomes. In recent years, these environments have evolved into more advanced environments with the implication of3D technology. With the help of 3D, these adaptive environments are helping learners according to their preferences.

Research on the Mental Health Management Strategies of College Students in the New Media Environment

Abstract: This paper puts forward some solutions to the problems of college students' mental health management under the new media environment. Firstly, through questionnaire survey and literature analysis, this paper discusses the problems existing in the management of college students' mental health, including increased psychological pressure, addiction to new media, social loneliness and so on. Secondly, the corresponding solutions are put forward, including strengthening mental health education, guiding the rational use of new media and improving social skills. Finally, the conclusion of this paper is summarized and some prospects for future research are put forward.

Adaptive 3D and VFX Films Virtual Learning Environments

Abstract: In this study, the analysis of the topic “Adaptive 3D and VFX Films Virtual Learning” has been provided. As virtual learning and 3D technologies use are increasing, the interest in their learning in academic discussion is increasing daily. However, there are various drawbacks to the use of3D for learning environments. To solve this drawback, the use of adaptive learning environments is increasing more, such as an environment that can dynamically adapt to the learner and the activities that can be performed by that specific learner. As the new ways of learning have been increasing over the past years (in the times of the COVID-19 Pandemic) through the use of computers in the educational sector. The learning environment has been widely adopted by the educational sectors in the case of obtaining promising outcomes. In recent years, these environments have evolved into more advanced environments with the implication of3D technology. With the help of 3D, these adaptive environments are helping learners according to their preferences.