International Journal of Digital Multimedia Broadcasting

With the development of film and television industry and the rise of new media short video, film and television postproduction process has higher and higher requirements for image quality. In film and television postproduction, optimizing the image quality can enhance the resolution and make the image more vivid and detailed. High-quality image can fully embody the value of film and television, as well as promote the development of new media short videos. This paper optimizes image quality by improving image processing technology, thus improving the quality and value of film and television and new media short videos. In this paper, a convolutional neural network combined with a nonlinear activation function is used to establish an improved image processing technology model to efficiently extract image features. This technology can enhance the ability to extract image features, improve the accuracy of image feature extraction, and then improve the image resolution and details, thus improving the image quality in the process of film and television postproduction. The results show that the average value of PSNR is 30.29. The average value of PSNR of the proposed algorithm is higher than that of other algorithms, indicating that the error between the image processed by the proposed algorithm and the original image is small. The average SSIM of the algorithm in this paper is 0.903, which is closer to 1. Compared with other algorithms, the structure processed by the algorithm in this paper is more similar to the original structure, resulting in a better graph. The algorithm in this paper has the best performance on both the peak signal-to-noise ratio (PSNR) and the structural similarity (SSIM). The improved image processing technology proposed in this paper can effectively improve the accuracy of image feature extraction, making film and television or new media short video images of higher quality.

The digital multimedia network data traffic is huge, and many end devices are applied to the digital multimedia network; therefore, the digital media network communication delay transmission must be analysed in order to improve the performance of the digital multimedia network communication transmission. Due to the presence of a large number of data packets in the communication network used, some random delays in data can occur during use. Conventional data transmission methods rely solely on extended data storage capacity to achieve this, making it difficult to achieve intelligent scheduling, resulting in delays and optimized performance degradation during communication data transmission. The aim of this paper is to enhance the communication quality of digital multimedia networks by developing an algorithmic model that rapidly mitigates communication delays. The proposed approach employs a delay cancellation algorithm in a network predictive control system. Simulation techniques are utilized to simulate and compensate for delays in multimedia communication networks. The efficacy of the network control strategy is demonstrated through simulation tests on a large-scale multimedia network communication system. The research findings indicate that the network control prediction model and elimination algorithm can substantially reduce the packet loss rate and quickly eliminate communication delays in digital multimedia networks.

In order to solve the bottleneck problem of public service advertising, an analysis method of creative design and design and production technology of animation public service advertising based on the ant colony optimization algorithm was proposed. In the current creative design process of animation public service advertising, along with the improvement of people’s aesthetic requirements, it is necessary to carry out a comprehensive innovative design of its design methods and content. This paper mainly describes how to use the ant colony optimization algorithm in the actual design process to carry out the corresponding design and analysis and then improve the overall communication of advertising. The research results show that under the ant colony algorithm, the customer satisfaction rate of public service advertising design is 89%, the general rate is 10%, and the dissatisfaction rate is 1%, which is superior to the traditional algorithm. Using Flash, 3DS Max, Premiere, and other software as well as “3D simulation,” Easy Mocap motion capture, and other technologies, the production quality of animation public service advertising films has been effectively improved.

Postgraduates being as the backbone of the innovative talent team, the enhancement of postgraduates’ innovative behavior has become the focus of higher education reform in the new era. Postgraduate students’ innovative behaviors are influenced by multiple factors, and mentorship plays a crucial role in the cultivation of postgraduate students’ innovative behaviors. This study is based on social cognitive theory and empirical analysis from the perspective of individual postgraduate students and mentorship cultivation. Multisource data were obtained from a research team attending a teacher training college in southwest China, and a questionnaire survey was conducted on 362 postgraduate students based on an online approach. The empirical study was conducted using SPSS software and AMOS software combined with hierarchical regression analysis and structural analysis of covariance to examine the mechanism of the effect of transformational tutoring style on postgraduate students’ innovative behavior, using creative self-efficacy as a mediating variable. The results showed that the transformational tutoring style had a significant positive effect on the innovation behavior of postgraduate students, and the creative self-efficacy partially mediated the effect of the transformational tutoring style on the innovation behavior. According to the findings of the study, the creative self-efficacy of postgraduate students is enhanced through the collaboration of “multiple” subjects; the “integrated” cultivation model is built to create a transformative tutor team; a mentoring community is established. The study is aimed at providing a reference for the cultivation of innovation ability of master students.

With the change of the times, under the leadership of big data, cloud computing, network technology, mobile Internet, and other high technology, education has gradually broken free from the traditional teaching mode. At the same time, advanced technology has also lifted the confinement of traditional teaching mode in space and time and opened the skylight of intelligent thinking mode. From the current situation of Chinese language fever around the world, the demand of Chinese language learners for learning materials and learning resources will continue to increase in the future. With the continuous development of Internet education, the combination of Internet technology and international Chinese education will definitely become the key direction for the development of international Chinese education. In this context, online teaching resources will become an important basis for the development of “Internet+Chinese international education”, so it is necessary to investigate and study the online teaching resources of “Internet+Chinese international education.” As a matter of fact, with the development of society and the advancement of technology, the era of informationization has come. As a result, the main theme of education in the information age is to provide suitable education for students who want to learn Chinese and to promote the active and lively development of each student. In the past, the one-size-fits-all education model of classroom teaching could not meet the individual development of students and the demand of society for diversified talents. Therefore, the traditional teaching of Chinese as a foreign language is in urgent need of change, and personalized teaching is attracting attention. With the emergence of technologies such as cloud computing, Internet of Things, and big data in education, personalized teaching has received technical support. This paper is aimed at exploring how to apply the new technologies in the teaching process to help teachers personalize teaching, stimulate students’ interest in learning, meet their individual needs, break through the traditional teaching methods, and make it possible to teach according to their abilities. As one of the main learning resources, the quality of multimedia courseware will be the criterion to measure whether it meets the teaching and learning needs. Consequently, the use of big data, multimedia, and multimodal technologies to improve the Chinese language material library and develop special software for teaching Chinese as a foreign language, as well as the production of high-quality multimedia courseware that is highly compatible with the teaching materials, will become the trend of future research.

Virtual reality technology (VR) has been widely used in education and teaching, but the results of a large number of experimental studies on the impact of VR on students’ technical skill learning are not consistent. In this study, a meta-analysis method was used to conduct in-depth quantitative analysis of 32 experimental or quasi-experimental research literatures based on virtual reality in the past 20 years. The results showed that: (1) virtual reality technology has a moderately positive effect on the learning of technical skills of science and engineering college students (); (2) the effect of VR on cognitive strategies () was significantly greater than that of mental skills () for technical skills under different measurement dimensions. (3) Different test periods, previous experience levels, and auxiliary methods have different degrees of positive influence on improving students’ technical skills, among which the 40-60 minutes experiment period () has the greatest influence on the improvement of technical skills. According to the research conclusions, we suggest to make an overall planning for the construction of VR enabling teaching application scenarios and create a human-machine collaborative interactive teaching model of “theory+VR simulation+feedback” based on flow theory.