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Advances in Multimedia publishes research on the technologies associated with multimedia systems, including computer-media integration for digital information processing, storage, transmission, and representation.
Advances in Multimedia maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.
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The Recognition of Holy Qur’an Reciters Using the MFCCs’ Technique and Deep Learning
The Holy Qur’an has recently gained recognition in the field of speech-processing research. It is the central book of Islam, from which Muslims derive their religious teachings. The Qur’an is the primary source and highest authority for all Islamic beliefs and legislation. It is also one of the most widely memorized and recited texts around the world. Listening to and reciting the Qur’an is one of the most important daily practices for Muslims. In this study, we propose a deep learning model using convolutional neural networks (CNNs) and a dataset consisting of seven well-known reciters. We utilize mel frequency cepstral coefficients (MFCCs) to extract and evaluate information from audio sources. We compare our proposed model to different deep learning and machine learning methodologies. Our proposed model outperformed the competing models with an accuracy of 99.66%, compared to the support vector machine’s accuracy of 99%.
Computer Course Design Plan for Film and Television Media Major
Although the film and television media sector is seeing significant growth, there is still a lag in film and television media majors at colleges and institutions. As a result, the colleges must keep pace with the current development trend. In order to better prepare students for the film and television industry, film and television media majors must rethink their teaching methods and promote students’ artistic ideas and professional skills. In the context of surging numbers of students and limited teaching resources, traditional teaching has highlighted many problems. Some film and television media majors have set up corresponding computer courses to make up for the deficiencies of traditional teaching through computer multimedia technology and network technology. This work is oriented to the design of computer courses for film and television media majors. First, this work aims at the current situation of computer courses in film and television media majors, analyzes the existing problems and causes, and explores ways to solve them. Second, this work proposes the IGA-BP model based on neural network to evaluate the teaching quality of computer courses for film and television media majors. In view of the excellent global optimization ability of GA and the defects of the BP algorithm itself, this work adopts the improved GA algorithm to optimize the BP network, and establishes an IGA-BP network combination model with higher prediction accuracy. Third, this work has carried out sufficient experiments, and the experimental results have verified that the IGA-BP network can effectively evaluate the teaching quality of computer courses in film and television media majors. In addition, the comparative experiment also verifies that the computer course design scheme proposed in this work can effectively improve the teaching quality.
Path Analysis of the e-Commerce Platform Driven by Multimodal Multimedia Information to Promote the Upgrading of Beautiful Countryside
In today’s society, the fastest and most active technology in the field of information technology is multimedia technology, which is the focus of the development and competition of the new generation of electronic technology. Computer technology, text, image, sound, animation, video, communication, military, finance, and a series of functions are integrated into one, which is multimedia technology. With the help of the increasingly popular information network, multimedia technology realizes the global networking of computers and the sharing of information resources, so it is applied in many industries and changes people’s lives subtly. It is necessary to innovate the methods and methods in the multimedia environment, redefine the current situation of the application of multimedia in rural areas, and analyze the method of applying multimedia e-commerce in rural enterprises, which is the main core of promoting rural education informatization in rural enterprises. However, there are some problems in its e-commerce methods and concepts. Here, it mainly analyzes how to correctly apply modern multimedia for e-commerce so that it can truly enter into rural enterprises. With the rapid development of computer technology, the computer-based multimedia foundation plays an important role in the production and life of human beings, and it is profoundly affecting the progress of the world economy and science and technology. Multimedia equipment can fully mobilize villagers’ enthusiasm for learning, and the rational application of multimedia equipment can effectively improve the efficiency and quality of e-commerce. Therefore, this article will discuss the development trend of multimedia technology on the basis of discussing the current situation of multimedia technology. This paper focuses on analyzing the significance and specific strategies of applying multimedia equipment in rural revitalization e-commerce, in order to improve the level of rural revitalization e-commerce. Through data analysis, it is found that the application of multimedia has increased the level of rural revitalization e-commerce by 32.74%.
A Deep Neural Network-Based Approach to Media Hotspot Discovery
In recent years, with the rapid development of social network media, it has become a valuable research direction to quickly analyze these texts and find out the current hotspots from them in real time. To address this problem, this paper proposes a method to discover current hotspots by combining deep neural networks with text data. First, the text data features are extracted based on the graphical convolutional neural network, and the temporal correlation of numerical information is modeled using gated recurrent units, and the numerical feature vectors are fused with the text feature vectors. Then, the K-means algorithm is optimized for the initial point selection problem, and a clustering algorithm based on the maximum density selection method in the moving range is proposed. Finally, the text feature representation method based on graph convolutional neural network is combined with the clustering algorithm based on the moving range density maximum selection method to build a deep learning-based media hotspot discovery framework. The accuracy of the proposed media hotspot discovery method and the comprehensive evaluation of the computing time have been verified experimentally.
Design and Management of Electricity Marketing Information System Based on Multisensor Fusion
The electricity marketing management information system realizes the whole process of management from accepting customers’ electricity application to electricity bill recovery and from business processing to decision support. The electricity marketing management information system is a modern management tool for electric electricity enterprises to go to the market, expand the market, increase supply, expand sales, and provide customers with high-quality services. This paper has completed the following work: (1) described the development of domestic and foreign electricity marketing management information system and provided a theoretical basis for the design scheme proposed later. (2) The construction of the marketing system should focus on eight key points, establish a service-oriented architecture, plan the hardware platform in combination with the principles of advanced and practicality, and at the same time, apply multisensors to the marketing technology support system to improve the efficiency of data interaction. (3) According to the characteristics of the application software of the electricity marketing management information system, the software that runs between the components of the distributed, enterprise-wide C/S application or within the components is adopted. The performance of the software and hardware of the system is tested experimentally, and the results show that the electricity marketing information system has good performance.
Application of Media Integration in the Construction of Scientific and Technological Innovation Ecological Chain
With the recent international economic and social changes, the development of innovation theories, the changes in the global industrial structure, and the transformation of old and new kinetic energy, many countries have advanced from innovation paradigm 1.0 to 3.0, integrating a variety of disciplines and theories, and using this concept to enhance their innovation capabilities. In such an environment, how to combine scientific and technological innovation with ecological environment construction, practice the integration and symbiosis of ecology and innovation, and promote the development of green innovation is the current focus of academic research. The scientific and technological innovation ecological chain is an organizational model that realizes the goal of scientific and technological innovation and the value-added spiral through the orderly connection and synergistic interaction between the main bodies or elements of innovation, such as basic research, technical research, achievement transformation, talent support, and technological finance. This paper takes Shanxi Province’s scientific and technological innovation ecological chain as a typical example, collects relevant text data through web crawler technology, then deconstructs the system of scientific and technological innovation ecological chain based on media integration, understands the composition of its main chain, supporting chain, and the interaction between the chains mechanism, and finally puts forward policy suggestions for the deepening of the future regional scientific and technological innovation ecological chain.