Multimedia Technology Research Articles

XDTEncoder: A Deep Explainable Arrhythmia Classification Framework for Smart Healthcare

In the context of smart healthcare, the integration of multimedia and digital twin technologies has driven significant advances in telemedicine. Electrocardiogram (ECG) signals, as a part of multimedia healthcare data, provide crucial digital information about the electrical activity of the heart, which is essential for diagnosing arrhythmias and ensuring a healthy life. Arrhythmia classification is a fundamental step in analyzing ECG signals and a critical problem for diagnosing heart diseases. One key challenge in arrhythmia classification is the lack of high accuracy for classifying arrhythmia heartbeats, and another key challenge is the lack of interpretability of decision-making models. This study aims to develop a novel approach to improve the performance of arrhythmia classification while providing explainable diagnostic decision paths. We propose XDTEncoder, an explainable arrhythmia classification framework that leverages multi-level features to classify arrhythmia heartbeats while offering an explainable diagnostic decision path. XDTEncoder is novel in three aspects. (1) It constructs a human-machine collaborative knowledge representation based on the Encoder-Decoder paradigm, which allows our model to classify arrhythmias while producing decision paths for cardiologists. (2) XDTEncoder compares two encoding methods (the binary tree encoding method and the Huffman encoding method) to embed the diagnostic decision tree into the arrhythmia classification framework. (3) XDTEncoder fuses multi-level features to improve the performance of arrhythmias classification. Evaluation on 5 types of arrhythmias in the MIT-BIH database demonstrates that our new approach outperforms state-of-the-art classifiers while providing interpretability.

Study on the Development of a Virtual Reality Application for Skeletal Anatomy Learning Using Rapid Application Development (RAD)

The use of innovative multimedia technology continues to evolve and has now become a primary technology tool in education. Currently, the utilization of virtual reality (VR) technology is being used as an immersive medium for learning, especially in the field of medicine. Immersive technology is presented in 3D visualization, approaching real and relevant objects in medical education as an alternative to traditional teaching aids such as cadavers. In this research, an exploration of the VR environment was conducted in a case study of the skeletal system using 3D skull bone objects. The exploration involved tasks such as preparing the 3D skull bone object data assets in the 3D development environment, exporting data assets to the 3D-VR environment, and configuring aspects related to visualization and object control based on visual C#. So far, documentation of the 3D-VR application development environment and the trial results of the case study object development on the Unity platform have been produced. Additionally, documentation of the interface design application using Rapid Application Development (RAD) has also been generated. The Android-based VR application has functioned well in accommodating the skull object, designed with 3 layers of the skeletal system adjusted to their respective depths. The skull consists of 22 components, including cranium.

Strategies for Motivating Students in College English Classroom Teaching

In the context of increasing globalization, the quality of English teaching, as an international lingua franca, directly affects students' overall quality and international competitiveness. By analyzing the current state of college English classroom teaching, this paper explores effective strategies to motivate students and evaluates the implementation effects of these strategies. The study finds that establishing good teacher-student relationships, applying diverse teaching methods, creating engaging classroom environments, providing effective learning feedback, and utilizing multimedia technologies and resources can significantly enhance students' motivation and learning outcomes. This research provides theoretical support and practical guidance for the reform of college English teaching.

Optimization of indoor thermal environment based on sensor networks and multimedia assisted physics teaching

Multimedia technology combines various media elements such as text, images, sound, and video, making classroom teaching more vivid, intuitive, and interesting. This article introduces a multimedia courseware assisted physics teaching application based on sensor networks and deep learning technology. This application has two functional modules: user user end and cluster control end. On the user end, obtain user commands through the virtual machine end and share the original multimedia files using the CIFS protocol. The user command is redirected to the user end, and then the corresponding command is executed on the user end to directly transmit and play the original multimedia file. At the same time, the user end will also provide data feedback and recording for subsequent data analysis and evaluation. At the cluster control end, based on the information collected by the sensor network, an adaptive linear regression algorithm is used to predict the reference value. By analyzing and processing the collected information, the cluster control end can reasonably arrange the playback content of multimedia courseware to meet the learning needs of students. This multimedia courseware assisted physics teaching application based on sensor networks and deep learning technology provides new help and support for physics teaching.

Research on the Education and Communication of Marxist Theory in the New Era

The dissemination of Marxist theoretical education in the new era in border areas has important historical value. As an important component of Marxist theory, the dissemination of Marxist theoretical education in these regions in the new era aims to lead ideology, promote economic and social development, promote national unity and social stability, as well as open exchanges and international cooperation. Through innovative paths such as multimedia technology and internet applications, social media and mobile applications, as well as grassroots preaching and practical education, Marxist theory can be better disseminated and deeply rooted in people's hearts, providing strong theoretical support for the development and progress of border areas.

Inheritance and Innovation of Traditional Culture in Primary School Chinese Curriculum

With the development of society and the acceleration of globalization, the status of traditional culture in modern education has become increasingly important. The primary school stage is crucial for students' cultural cognition and value formation. Therefore, inheriting and innovating traditional culture in the primary school Chinese curriculum is particularly significant. This study analyzes the traditional cultural content and teaching implementation in current primary school Chinese textbooks. It proposes inheritance strategies, including textbook compilation and content optimization, teacher professional development and training, and stimulating students' learning interest. Additionally, it explores innovative approaches such as the application of multimedia technology, interdisciplinary integration, and project-based learning. The research results indicate that systematic inheritance strategies and innovative approaches can effectively enhance students' interest and recognition of traditional culture, promoting their comprehensive language arts development.

USING MULTIMEDIA IN EFFECTIVE ORGANIZATION OF ENGLISH LANGUAGE LESSONS IN V-IX GRADES

The use of multimedia technologies in the educational process helps students of grades V-IX actively and creatively master English, making them active participants in the educational process. At this time, there is a transition from passive learning to active learning. The article focuses on the problem of using multimedia in the effective organization of English lessons in V-IX grades.

Application of Multimedia Technology in PE Teaching in Colleges and Universities

With the rapid development of information technology, multimedia technology has gradually penetrated various fields, including physical education in colleges and universities. Traditional physical education teaching methods lack interaction, and it is difficult to ensure the durability and depth of the effect of teaching. In college physical education teaching, multimedia technology can be displayed through various forms of media, and it helps to stimulate students' interest and enthusiasm in learning. Therefore, we need to find a new teaching method to improve current physical education in colleges and universities. This paper expounds the applications of multimedia technology in college physical education from three dimensions: video teaching, audio teaching, and virtual reality technology. The effect of applying multimedia technology in physical education teaching is analyzed through case studies. This paper will provide a useful reference for the innovation and development of physical education teaching in colleges and universities.

Audio–video collaborative JND estimation model for multimedia applications

With the rapid development of the Internet and multimedia technologies, multimedia applications integrating audio and video are becoming increasingly prevalent in both everyday life and professional environments. A critical challenge is to significantly enhance compression efficiency and bandwidth utilization while maintaining high-quality user experiences. To address this challenge, the Just Noticeable Distortion (JND) estimation model, which leverages the perceptual characteristics of the Human Visual System (HVS), is widely used in image and video coding for improved data compression. However, human visual perception is an integrative process that involves both visual and auditory stimuli. Therefore, this paper investigates the influence of audio signals on visual perception and presents a collaborative audio–video JND estimation model tailored for multimedia applications. Specifically, we characterize audio loudness, duration, and energy as temporal perceptual features, while assigning the audio saliency superimposed on the image plane as the spatial perceptual feature. An audio JND adjustment factor is then designed using a segmentation function. Finally, the proposed model combines the video-based JND model with the audio JND adjustment factor to form the audio–video collaborative JND estimation model. Compared with existing JND models, the model presented in this paper achieves the best subjective quality, with an average PSNR value of 26.97 dB. The experimental results confirm that audio significantly impacts human visual perception. The proposed audio–video collaborative JND model effectively enhances the accuracy of JND estimation for multimedia data, thereby improving compression efficiency and maintaining high-quality user experiences.

Projective Incomplete Multi-View Clustering.

Due to the rapid development of multimedia technology and sensor technology, multi-view clustering (MVC) has become a research hotspot in machine learning, data mining, and other fields and has been developed significantly in the past decades. Compared with single-view clustering, MVC improves clustering performance by exploiting complementary and consistent information among different views. Such methods are all based on the assumption of complete views, which means that all the views of all the samples exist. It limits the application of MVC, because there are always missing views in practical situations. In recent years, many methods have been proposed to solve the incomplete MVC (IMVC) problem and a kind of popular method is based on matrix factorization (MF). However, such methods generally cannot deal with new samples and do not take into account the imbalance of information between different views. To address these two issues, we propose a new IMVC method, in which a novel and simple graph regularized projective consensus representation learning model is formulated for incomplete multi-view data clustering task. Compared with the existing methods, our method not only can obtain a set of projections to handle new samples but also can explore information of multiple views in a balanced way by learning the consensus representation in a unified low-dimensional subspace. In addition, a graph constraint is imposed on the consensus representation to mine the structural information inside the data. Experimental results on four datasets show that our method successfully accomplishes the IMVC task and obtain the best clustering performance most of the time. Our implementation is available at https://github.com/Dshijie/PIMVC.

Application of Technological Means and Innovative Teaching Methods in Vocal Music Education

In the context of rapid advancements in information technology, the application of technological means in the field of education is becoming increasingly widespread, and vocal music education is no exception. This paper aims to explore the specific applications of multimedia technology, virtual reality technology, and artificial intelligence technology in vocal music education, and analyze the positive effects of these technologies on enhancing teaching effectiveness. Furthermore, this paper proposes innovative teaching methods such as interactive teaching, project-based learning, and interdisciplinary integration, with the goal of stimulating students' interest in learning and improving teaching quality. By integrating technological means with innovative teaching methods, this paper explores effective pathways to modernize vocal music education, providing new ideas and references for the future development of vocal music education.

Profile-based video design for motion graphics: a case study of the multimedia engineering technology study program at Boash Indonesia Digital Polytechnic

A company profile is a detailed representation of a company, aimed at attracting customer attention and interest. Among the various forms of company profiles, video is one of the most effective. The Multimedia Engineering Technology Study Program at Boash Indonesia Digital Polytechnic (PDBI) currently lacks a profile video, which could serve as a significant promotional tool. This research aims to develop an informative and promotional medium in the form of a motion graphic-based profile video. The method employed is the Multimedia Development Life Cycle (MDLC). The resulting motion graphic-based profile video is designed to support promotional activities, presented in an educational and communicative manner to ensure effective delivery to the audience.

The Role of Multimedia Integration in Teaching Islamic Religion and Students' Satisfaction with Interactive Learning in Islamic Boarding Schools in Indonesia

This study investigates the role of multimedia integration in teaching Islamic religion and its impact on student satisfaction with interactive learning in Islamic boarding schools in Indonesia. Using a quantitative research design, data were collected from 160 students through a structured questionnaire and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings indicate that multimedia integration significantly enhances the effectiveness of teaching Islamic religion (Path Coefficient = 0.625, p < 0.001), improves student satisfaction (Path Coefficient = 0.664, p < 0.001), and promotes interactive learning (Path Coefficient = 0.686, p < 0.001). Additionally, effective teaching of Islamic religion positively influences interactive learning (Path Coefficient = 0.403, p < 0.001), and higher student satisfaction contributes to more interactive learning experiences (Path Coefficient = 0.234, p = 0.003). The findings emphasize the significance of incorporating multimedia technologies in religious education to provide captivating and efficient learning settings. These findings provide significant knowledge for educators and policymakers who seek to improve the standard of religious teaching in Islamic boarding schools.

The Negative Transfer of Shanghai Dialect on English Vowel Phonology Acquisition of Shanghai High School Students

With the accerleration of globalisation, the importance of English as an international common language has become more and more prominent. This study investigated the negative transfer effect of Shanghai dialect on English vowel acquisition in Shanghai high school students. Through the analysis of formant data of English vowel pronunciation in 49 Shanghai high school students, it is found that there is no significant change in tongue position when students pronounce some long and short vowels, the overall tongue position is low, and the distinction between long and short vowels is not obvious. The results show that the specific vowel phonemes in Shanghai dialect have a negative transfer effect on English pronunciation, which affects the accuracy of students' English pronunciation. Based on this, this study puts forward a variety of methods to improve English pronunciation teaching, including strengthening tongue position and oral shape training, using multimedia technology to assist teaching and providing personalized tutoring to help students overcome pronunciation barriers caused by dialects.

Analysis and Governance Strategies of Online Gambling Crimes under New Live Streaming: Taking Lottery Games as an Example

With the development of multimedia technology and the increasing popularity of online live streaming, new forms of online gambling crimes using online live streaming platforms for game live streaming have also emerged, and new operating modes and criminal methods have been used. This gambling method involves certain game anchors using their online popularity, as well as the trust of some fans and their viewers in their anchors during live broadcasts, to attract viewers to participate in gambling through various means and gimmicks. This new type of network under game live streaming involves various factors such as law, technology, and regulation. Live streaming platforms, hosts, and users who watch live broadcasts must strictly abide by laws and regulations. Government regulatory departments also need to strengthen their supervision of whether gambling is involved in the field of online live streaming, protect the legitimate rights and interests of the public, and maintain a healthy and orderly online environment.

Application of Multimedia Technology in Teaching English in Colleges and Universities

Multimedia plays a crucial role in English teaching by enhancing engagement, providing diverse learning experiences, and catering to different learning styles. English teaching through multimedia, while beneficial, presents challenges. Unequal access to technology and the digital divide can hinder some students' participation. Ensuring digital literacy and quality content selection is crucial to effective use. This paper proposed the Hidden Markov Model for English Teaching (HMM-ET) to improve the performance of college and university students. The proposed HMM-ET model computes the Markov chain of English teaching through multimedia technology. With the implementation of multimedia technology, the HMM model estimates the performance of students in colleges and universities. Through the estimation of HMM-ET the classification of students' performance in English learning is computed with the machine learning model. The performance of the students is examined comparatively with the conventional Support Vector Machine (SVM) and Random Forest. Through analysis of a dataset comprising observation sequences reflecting English learning tasks, HMM-ET consistently outperforms SVM and Random Forest, achieving an average accuracy of 96%, while SVM and Random Forest attain accuracies of 90% and 88% respectively.

A comprehensive review of quality of experience for emerging video services

The recent advances in multimedia technology have significantly expanded the range of audio–visual applications. The continuous enhancement of display quality has led to the emergence of new attributes in video, such as enhanced visual immersion and widespread availability. Within media content, the video signals are presented in various formats including stereoscopic/3D, panoramic/360°and holographic images. The signals are also combined with other sensory elements, such as audio, tactile, and olfactory cues, creating a comprehensive multi-sensory experience for the user. The development of both qualitative and quantitative Quality of Experience (QoE) metrics is crucial for enhancing the subjective experience in immersive scenarios, providing valuable guidelines for system enhancement. In this paper, we review the most recent achievements in QoE assessment for immersive scenarios, summarize the current challenges related to QoE issues, and present outlooks of QoE applications in these scenarios. The aim of our overview is to offer a valuable reference for researchers in the domain of multimedia delivery.

Development of Multimedia-Based Speaking Teaching Materials and its Influence on Junior High School Student Motivation

This research aims to develop multimedia-based speaking teaching materials and test their effect on junior high school students’ learning motivation. The research method used is qualitative research with a descriptive approach. The results of the research show that the use of multimedia-based speaking teaching materials is effective in increasing students’ interest in active participation and learning motivation. Multimedia is considered to be able to make learning more interesting, interactive and fun compared to conventional learning. These findings emphasize the important role of teachers in utilizing multimedia technology to create effective learning and can motivate students in speaking skills. Support from the school and other stakeholders is also needed to facilitate teachers in developing and implementing multimedia-based speaking teaching materials.

Analysis of the Quality of PE Classroom Teaching with Multimedia Technology

Analysis of the Quality of PE Classroom Teaching with Multimedia Technology

Audiovisual Translation as a Media for Teaching EFL Vocabulary to Primary School Students in Indonesia

This research demonstrates the important role of technology in education by highlighting the potential of audiovisual techniques as learning media for primary school students. Previous research studies have shown that appropriate audiovisual presentations can improve comprehension, especially in today's children who are enthusiastic about multimedia technology. A qualitative research method using a classroom action research design was used to carry out the research procedure, while thematic analysis was used to analyse the data and evaluate the findings. The aim of this study is to evaluate one of the most effective EFL vocabulary teaching methods for primary school students, namely audiovisual translation, and to summarise the students' impressions while learning vocabulary using audiovisual translation. This research contributes to innovative EFL teaching methods by suggesting the widespread use of audiovisual translation in primary schools around the world, especially in Indonesia, based on its proven success and positive responses from students.