Advances in Multimedia

At present, the state’s financial aid for students from financially disadvantaged families is increasing, and the number of students receiving financial aid is also increasing substantially. Poor students have to run back and forth to submit various materials while busy with their own studies, which causes a lot of inconvenience to students and teachers. The development of the poverty-stricken student precision funding platform frees teachers from tedious and low-end work and engages in core affairs, which improves the overall efficiency of school affairs and the controllability of information. In this context, this paper uses computer intelligence technology to realize the construction of the precise funding platform for impoverished students in colleges and universities (CAU) and completes the following tasks: (1) the research status of precise funding for impoverished students in CAU at home and abroad is introduced. (2) The SSI frame structure diagram of the funding information management platform is designed and the specific function description and detailed design of the relevant modules are given. (3) The module function test and system function test of the platform designed in this paper are completed through experiments. The results show that the system is very stable, and the functions are perfectly realized.

With the rapid development of 5G network and information technology, the means of modern multimedia are becoming more and more perfect. Many enterprises and industry organizations have entered the information age, and the field of higher education cannot lag behind because of its practical importance of training talents. The major of Chinese language and literature has a great influence on the development of the country’s soft power. The current teaching mode is backward and old-fashioned, paying more attention to the examination-oriented education of theoretical knowledge, and the practical training of comprehensive quality is still insufficient. This paper plans to design an intelligent classroom teaching system. Under the intelligent control of multimedia, the system can assist teachers to formulate flexible and rich teaching programs of Chinese language and literature. Finally, the weight distribution of the teaching evaluation system designed in this paper is reasonable, and the material library of the system is set up scientifically and comprehensively. After several groups of simulation verification, the improved teaching scheme helped the students who participated in the experiment to improve their academic performance by nearly 30 points. While maintaining the interest in Chinese language, the accuracy of spam article recognition algorithm is more than 85%, and the highest result can reach 94.5%.

At present, based on the background of the big data era, the operation of enterprises has a great impact, and relevance is a principle set to meet the needs of enterprise operation and management. In today’s digital and network era, multimedia has become the main part of the Internet information transmission, and multidisciplinary art and science communion has promoted the development of the multimedia information retrieval. As a result, this paper examines the correlation of big data against the background of financial and multimedia information retrieval algorithms.

According to the perspective of multimode multimedia data, the protection technology of network information security is mainly discussed. The theoretical basic research is outlined, its meaning, level, reasons, and consequences are expounded, and the future research content and development trend are discussed. With the rapid development of online services and mobile technology, the world has entered the era of multimedia big data. There have been a large number of scientific studies in the multimedia industry, which explain the various fields of big data, including the capture, storage, reference, excavation, and search of multimedia big data. The article expounds the specific concept of power monitoring system network information security, establishes the safety regulations of electric power monitoring system, formulates the corresponding ideas for the safety guarantee level of electric power monitoring system, and promotes the long-term development of China’s electric power enterprises. The safe operation of the power monitoring system is directly related to the stable operation of all power supply systems and even the social economy. At this stage, the situation of network security management in China’s power monitoring system is still not optimistic. We take the multimode multimedia data, organize the research dynamics of the network security protection technology, and discuss the future research trend.

In primary school Chinese education, literacy is a very important work. Literacy is an important part of primary school Chinese and also an important part of primary school Chinese. At present, literacy education is increasingly valued by teachers. However, there are still many problems to be solved in China’s literacy education. In traditional education and teaching, teachers should let students recite a large number of concepts, formulas, and rules in order to improve students’ learning effect. However, due to the lack of practical support, this has become a major obstacle in education and teaching. Therefore, the main purpose of this paper is to use augmented reality (AR) technology to explore the literacy teaching of junior students. From the result of the test of students’ literacy teaching, it can be seen that the number of people who scored 81–100 points in the experimental class and the control class before the experiment was 9 and 4, respectively. After the experiment, the number of people who scored 81–100 points in the experimental class and the control board was 15 and 7, respectively. Therefore, it is very necessary to use AR technology to carry out applied research on literacy teaching at the low learning stage.

The advancement of AI technology has promoted the development speed of digital multimedia and brought a new experience to the digital media experience effect. In this paper, we aim to using artificial intelligence methods to enhance the digital media design experience. Specifically, we propose a method for low-light image enhancement using generative adversarial networks as a model framework. To better solve the problem, we design the following strategies in our proposed method. First, we preprocess the images into patches with a proper size. Second, we introduce the overall network structure of GAN. Third, we designed a multifeature extraction module with different sizes of convolution kernels to enhance the model’s ability for extracting features. Fourth, we propose a loss that combines the mean square error distance function with the adversarial error function to enable the model to learn the distributional features of the image. Finally, we verify the effectiveness of the proposed method on two datasets, namely, PASCAL VOC and MIT-Adobe FiveK. The results show that our proposed method performs well in the process of evaluation.