Multimedia Content Research Articles

The Application and Management of University WeChat Official Accounts in College Student Ideological Education A Exploration Based on the “BIFT Art Sea Studio” WeChat Official Account

In the contemporary digital era, the utilization of university WeChat Official Accounts has become a pivotal tool in college student ideological education. This study delves into the application and management of such accounts, with a particular focus on the exploration of the “BIFT Art Sea Studio” WeChat Official Account. Grounded in the distinctive characteristics of the Beijing Institute of Fashion Technology (BIFT) — “Art as the Core, Fashion as the Guide, Integration of Art and Engineering,” this Official Account features sections such as “Famous Paintings in ‘Spring and Autumn’,” “Wearing Philosophy,” and “Red ‘Time Machine’.” The overarching goal is to transform individuals through art, refine morality, and concentrate positive energy. The study highlights the effective alignment of content with school characteristics, the use of multimedia content to capture student attention, and the positive impact on ideological education. It also acknowledges challenges in audience engagement and proposes future research directions to optimize the potential of WeChat Official Accounts in shaping the ideological landscape of college students.

ANALYSIS OF METHODS TO INCREASE QOE PARAMETERS FOR VIDEO STREAMING SERVICES

Video streaming services represent a new generation of television (DTV), which have become an integral part of modern digital culture. With the development of Internet technologies and the spread of broadband access, video streaming has become a popular and convenient way to consume multimedia content. Unlike traditional television, video streaming services provide the user with the ability to choose content, watch it at a convenient time and on different devices, which leads to new challenges and opportunities in improving the quality of user experience (QoE). One of the key elements that determine the quality of a video streaming service is the operator's transmission equipment and platform servers. These components provide content streaming over the Internet and affect such parameters as download speed, data stream stability and playback quality. Efficient management and optimization of the transmission equipment and servers can reduce latency, improve video quality and provide smoother streaming of content to end users. This research project aims to analyze methods for improving QoE parameters for video streaming services to better understand how technologies, algorithms and strategies can be applied to optimise the user experience in this new type of digital content. By considering factors such as video quality, adaptive streaming, traffic management, and many others, we aim to highlight key aspects that contribute to improving QoE and providing a more satisfactory user experience in video streaming services.

Revolutionizing Electrical Engineering Education: A New Active Learning Method Based on Student-Generated Multimedia Content

Revolutionizing Electrical Engineering Education: A New Active Learning Method Based on Student-Generated Multimedia Content

Emotional Video Captioning With Vision-Based Emotion Interpretation Network.

Effectively summarizing and re-expressing video content by natural languages in a more human-like fashion is one of the key topics in the field of multimedia content understanding. Despite good progress made in recent years, existing efforts usually overlooked the emotions in user-generated videos, thus making the generated sentence a bit boring and soulless. To fill the research gap, this paper presents a novel emotional video captioning framework in which we design a Vision-based Emotion Interpretation Network to effectively capture the emotions conveyed in videos and describe the visual content in both factual and emotional languages. Specifically, we first model the emotion distribution over an open psychological vocabulary to predict the emotional state of videos. Then, guided by the discovered emotional state, we incorporate visual context, textual context, and visual-textual relevance into an aggregated multimodal contextual vector to enhance video captioning. Furthermore, we optimize the network in a new emotion-fact coordinated way that involves two losses- Emotional Indication Loss and Factual Contrastive Loss, which penalize the error of emotion prediction and visual-textual factual relevance, respectively. In other words, we innovatively introduce emotional representation learning into an end-to-end video captioning network. Extensive experiments on public benchmark datasets, EmVidCap and EmVidCap-S, demonstrate that our method can significantly outperform the state-of-the-art methods by a large margin. Quantitative ablation studies and qualitative analyses clearly show that our method is able to effectively capture the emotions in videos and thus generate emotional language sentences to interpret the video content.

DEEPFAKE DYSTOPIA: NAVIGATING THE LANDSCAPE OF THREATS AND SAFEGUARDS IN MULTIMEDIA CONTENT

Deepfake technology, a fusion of deep learning and artificial intelligence, has emerged as a potent tool capable of crafting hyper-realistic yet entirely fabricated multimedia content. This comprehensive review explores the evolution, applications, and underlying principles of deepfake technology, emphasizing its potential implications for privacy, security, and the spread of misinformation. Using advanced deep learning algorithms, particularly Generative Adversarial Networks (GANs), deepfake technology manipulates facial features with remarkable precision, raising concerns about its malicious applications. The review examines the exponential growth in online content sharing facilitated by social media platforms and affordable devices, highlighting the convenience and accessibility but also the risks associated with the widespread use of deepfake technology. The core of deepfake technology, GANs, engages in an iterative competition between a discriminator and a generator, resulting in increasingly convincing synthetic data. A thorough review of the literature reveals significant research efforts focused on deepfake detection, leveraging techniques such as error-level analysis, CNN architectures, and hybrid approaches. The paper discusses regulatory measures, public awareness campaigns, and the critical role of digital forensic evaluation in mitigating deepfake threats. Challenges and concerns, including misinformation, privacy invasion, national security risks, and erosion of trust, are outlined. Mitigation strategies encompass advanced detection algorithms, regulatory frameworks, public awareness, and digital forensic evaluation, emphasizing the collaborative efforts required across technology developers, policymakers, the public, and digital forensic experts to navigate this evolving landscape and safeguard trust, privacy, and security in the digital age.

Effectiveness Associated With Learning With Video and Multimedia Content in Engineering Students’ Classroom Sessions

Video as an educational tool has evolved in response to the widespread engagement with multimedia content in the modern era. This approach adapts to the widespread access to the internet and online communication, transforming teaching methods in university environments. The inclusion of video in the educational process not only presents concepts in an engaging way but also encourages active student participation and contributes to the construction of knowledge. The versatility of videos enriches understanding by combining visual and auditory elements, promoting better retention of information. Adapting teaching methods to the multimedia era is fundamental in engineering education. Students recognize the value of videos in understanding practical solutions and engineering applications, highlighting their preference for viewing over reading. Clarity in the presentation and description of videos, together with their easy accessibility, is crucial to their effectiveness. The use of video as an academic resource not only allows for improved student performance but also fosters collaboration and independent learning. In this evolving educational environment, adaptability, collaboration, and individual reflection become essential factors in maximizing multimedia and video resources. The integration of artificial intelligence and the creation of digital scientific discourses reflect the ongoing transformation in education. Through visual and auditory elements, videos enhance the learning experience, fostering active participation and facilitating a deeper understanding of concepts. This, in turn, contributes to the educational development of engineering students.

Audio, Text, Image, and Video Digital Watermarking Techniques for Security of Media Digital

The proliferation of multimedia content as digital media assets, encompassing audio, text, images, and video, has led to increased risks of unauthorized usage and copyright infringement. Online piracy serves as a prominent example of such misuse. To address these challenges, watermarking techniques have been developed to protect the copyright of digital media while maintaining the integrity of the underlying content. Key characteristics evaluated in watermarking methods include capability, privacy, toughness, and invisibility, with robustness playing a crucial role. This paper presents a comparative analysis of digital watermarking methods, highlighting the superior security and effective watermark image recovery offered by singular value decomposition. The research community has shown significant interest in watermarking, resulting in the development of various methods in both the spatial and transform domains. Transform domain approaches such as Discrete Cosine Transform, Discrete Wavelet Transform, and Singular Value Decomposition, along with their interconnections, have been explored to enhance the effectiveness of digital watermarking methods.

Techno-Educational Conditions in Mexico Before and During the Pandemic: Moving Towards the Necessary Consolidation of a Digital Education Agenda

This article provides a contextualization of the conditions prior to the pandemic in the Mexican educational system, in particular the programs and educational technologies implemented by the authorities to provide continuity of learning. With this, the actions and mechanisms of students and teachers in the use of information, communication, knowledge and digital learning technologies for the use of multimedia and interactive content are identified. From there, the strategies to provide schools and students with computers, laptops and tablets and Internet connectivity are considered. The results of the research provide a glimpse of those actions that are part of the necessary consolidation of a Digital Education Agenda.

Sosialisasi Perilaku Hidup Bersih dan Sehat (PHBS) dan Dampak Penggunaan Gadget pada Anak

Clean and Healthy Living Behavior (PHBS) is an important concept to apply in everyday life. PHBS aims to maintain and improve individual health and prevent the spread of disease. Elementary School (SD) is the initial stage of education where children begin the learning process and develop social skills. The use of gadgets, such as smartphones, tablets and computers, has become an inseparable part of modern life. Gadgets offer access to various applications, games and multimedia content that are interesting for children, replacing healthy physical activities and important social interactions. The method used in this community service is the lecture method in the form of providing education and discussions about Health Promotion Influences Patterns Clean and Healthy Living (PHBS) and the Impact of Using Gadgets on Elementary School Children. Target Elementary School Students Grades 5 and 6 at SD 104294 Pematang Sentrak Village. Time and Place This activity will be held on April 13 2023 at SD 104294 Pematang Sentrak Village, Teluk Mengkudu District, Serdang Bedagai Regency. Implementation of Activities The form of activity carried out is by providing outreach to elementary school students about PHBS and the impact of using gadgets on elementary school children which will have a long-term positive impact on their health and welfare.

Effectiveness of Content Marketing of Vespa Scooter with Reference to Vignesh Moteurx Pvt Ltd, Puducherry

This project, titled "Evaluating the Efficacy of Content Marketing for Vespa Scooters: A Case Study on Vignesh Moteurx Pvt Ltd," aims to assess the success of content marketing strategies employed by Vignesh Moteurx Pvt Ltd in promoting Vespa scooters. Content marketing plays a crucial role in contemporary marketing, offering unique avenues for customer engagement and brand promotion. The study adopts a comprehensive approach by analyzing various content marketing channels, including social media, blogs, and multimedia content, utilized by Vignesh Moteurx Pvt Ltd. To gather insights, the research employs a combination of quantitative and qualitative methodologies, incorporating surveys and interviews with both target consumers and industry experts.

Online Learning Platform Development

This research focuses on enhancing the effectiveness of online learning platforms for language learning by integrating principles from software engineering, instructional design, and multimedia resources. Emphasizing the development of platforms conducive to transnational cultural engagement and equitable access, the study leverages the ADDIE model for instructional design, integrating task-based language teaching and online intercultural exchanges. Key to this approach is the development of user-friendly interfaces and content that supports diverse learning styles through multimedia integration, including social media, gaming, and virtual environments. The study also addresses the digital divide by ensuring accessibility across different regions and socioeconomic groups. The research methodology includes a comprehensive literature review, needs analysis focused on Arabic language learning, and the application of multimedia authoring principles. The ADDIE model guides the creation and evaluation of educational content, while software engineering principles ensure platform robustness and scalability. Findings indicate a significant potential for these platforms to enhance cognitive learning outcomes. The research validates the effectiveness of these integrations through experimental designs, user feedback, and expert evaluations. The study underscores the importance of digital literacy and intercultural competence in online learning environments and suggests emerging technologies like virtual and augmented reality for immersive experiences. In conclusion, the research demonstrates that well-designed online learning platforms, a synthesis of software engineering excellence, sound pedagogical frameworks, and engaging multimedia content, can substantially improve the learning experience and outcomes for language learners. The study recommends continuous integration of online methods with traditional learning to maximize educational benefits for language students.

Meningkatkan Literasi Digital Melalui Pelatihan Aplikasi Kinemaster Untuk Pembuatan Konten Pembelajaran

This service activity is intended to explore the potential use of technology to improve digital literacy among students by utilizing the Kinemaster application as an innovative learning tool. Digital literacy is a crucial factor in individual success in a society that relies on information technology, and multimedia applications such as Kinemaster are considered to have a significant role in achieving this goal. The approach applied in this PKM is to provide training to participants, especially students and teachers, on the use of Kinemaster applications to create multimedia content that supports learning. They are taught how to edit videos, add multimedia elements, and produce interesting learning materials through this application. The positive impact of this activity involves improving participants' digital literacy skills, increasing their ability to use technology for learning, and increasing their interest in creative exploration through multimedia. The positive contribution of this PKM is reflected in the development of digital literacy among students, supporting a more interactive and technology-based learning process, and creating opportunities for participants to become more skilled and responsible multimedia content producers.

An all-inclusive study on identification of fake multimedia content using Machine Learning approaches: A survey

An all-inclusive study on identification of fake multimedia content using Machine Learning approaches: A survey

A Comprehensive Review on Secure Video Streaming in Cloud Environments

The proliferation of cloud-based video streaming services has revolutionized the way users access and share multimedia content. However, the inherent security challenges associated with transmitting, storing, and delivering video data in cloud environments demand comprehensive solutions. This review paper aims to provide a thorough analysis of the state-of-the-art techniques and methodologies employed in ensuring secure video streaming in the cloud. It encompasses various aspects such as encryption, authentication, access control, and integrity verification to safeguard video content throughout its lifecycle.

Multimedia Animation Based Basketball Learning Media

The goal of this research and development is to provide multimedia animated shooting learning content for basketball games. The Research and Development (R&D) design from Borg and Gall is used in this study. 130 students enrolled in physical education classes made up of 50 students in the small group trial, 80 students in the field trial, and 50 students evaluating the media's efficacy served as the study's subjects. Test the efficacy of the media by utilizing basketball in order to ascertain the level of students' technical proficiency in basketball before and after receiving the intended learning media treatment for basketball, treatment of animated multimedia-based learning materials for basketball. Basketball technical level was determined from the initial test to be 35.35135. The pupils' capacity to execute basketball moves after receiving therapy based on multimedia animation was 71.324324. This indicates that this basketball method learning tool is successful in enhancing students' understanding of the game. The following conclusions may be drawn from the development research findings: (1) Animation- and multimedia-based instructional materials for teaching basketball technique to students can be created and used. (2) The multi-media animation-based instructional materials that were created for teaching basketball technique demonstrated that there was a substantial difference between before and after treatment based on the difference in student pre-test and post-test scores.

SEMIOTIC OF SOUND TECHNIQUE IMPACTING THE UNDERSTANDING IN HORROR GENRE SHORT FILM “HAWA” (2016)

This study analyses the sound technique that is used to analyse the structure of sound in “Hawa”, Directed by Tan Ce Ding in 2016, a short horror film about a girl who is being locked inside her room by her parents due to her infection. Using semiotic analysis, this research studied their sound technique that they employ to convey a message in each scene. To comprehend how the techniques of various noises used in motion pictures, as well as the temporal evolution of sound energy, create an emotional experience for the audience. In the context of multimedia content analysis and indexing, qualitative methodologies have already been applied to horror film soundtracks. It was decided to use a qualitative research strategy, and more precisely, a hybrid technique that combines thematic analysis with semiotics content analysis. This method was chosen because it was necessary to find, code, classify, and count both obvious and latent meanings in the written responses of the audiences. Thematic analysis is used to analyse the audience’s understanding in Hawa film directed by Tan Ce Ding, that can elicit horror understanding and feeling. Such as the existence of diegetic and non-diegetic sound, contrapuntal sound, parallel sound, and sound bridge can imply to the understanding.

Methodological Approach for Identifying Websites with Infringing Content via Text Transformers and Dense Neural Networks

The rapid evolution of the Internet of Everything (IoE) has significantly enhanced global connectivity and multimedia content sharing, simultaneously escalating the unauthorized distribution of multimedia content, posing risks to intellectual property rights. In 2022 alone, about 130 billion accesses to potentially non-compliant websites were recorded, underscoring the challenges for industries reliant on copyright-protected assets. Amidst prevailing uncertainties and the need for technical and AI-integrated solutions, this study introduces two pivotal contributions. First, it establishes a novel taxonomy aimed at safeguarding and identifying IoE-based content infringements. Second, it proposes an innovative architecture combining IoE components with automated sensors to compile a dataset reflective of potential copyright breaches. This dataset is analyzed using a Bidirectional Encoder Representations from Transformers-based advanced Natural Language Processing (NLP) algorithm, further fine-tuned by a dense neural network (DNN), achieving a remarkable 98.71% accuracy in pinpointing websites that violate copyright.

PROFEE: A Probabilistic-Feedback Based Speed Rate Adaption for IEEE 802.11bc

WiFi is a widely used wireless technology for data transmission. WiFi can also play a crucial role in simultaneously broadcasting content to multiple devices in multimedia transmission for venues such as classrooms, theaters, and stadiums, etc. Broadcasting allows for the efficient dissemination of information to all devices connected to the network, and it becomes crucial to ensure that the WiFi network has sufficient capacity to transmit broadcast multimedia content without interruptions or delays. However, using WiFi for broadcasting presents challenges that can impact user experience, specifically the difficulty of obtaining real-time feedback from potentially hundreds or thousands of users due to potential collisions of feedback messages. This work focuses on providing accurate feedback to the Access Point about the percentage of users not receiving broadcast traffic correctly so it can adjust its Modulation and Coding Scheme (MCS) while transmitting broadcast multimedia content to many users. The proposed method is comprised of two sequential algorithms. In order to reduce the probability of a collision after transmitting each message, an algorithm searches for the best probability value for users to transmit ACK/NACK messages, depending on whether messages are received correctly or not. This feedback allows the Access Point to estimate the number of STAs correctly/incorrectly receiving the messages being transmitted. A second algorithm uses this estimation so the Access Point can select the best MCS while maintaining the percentage of users not receiving broadcast content correctly within acceptable margins, thus providing users with the best possible content quality. We implemented the proposed method in the ns-3 simulator, and the results show it yields quick, reliable feedback to the Access Point that was then able to adjust to the best possible MCS in only a few seconds, regardless of the user density and dimensions of the scenario.

Reflections on Engaging Pragmatically with Generative AI to Augment Research and Education Practice

Generative AI tools enable researchers to generate multimedia content, including human-like visuals, voice and text. This novel paper’s purpose is to use generative AI to create a short paper, and to critically evaluate the process and implications of the material generated. Firstly, the capabilities of AI to generate multimedia content is summarised with an example of an AI generated professor. Both the opening section, and concluding reflections, are written without the use of AI. Perplexity.ai, an AI tool based on a large language model is used, through a series of prompts, to generate a short paper on AI in the animation industry. The generated paper emerged through a series of prompts written during a 90-minute session. The generated text is presented as is, modified only with minor deletions. In the concluding section, the impact of generative AI tools on researching are reflected upon with some positive and negative insights outlined.

Benford’s Law and Perceptual Features for Face Image Quality Assessment

The rapid growth in multimedia, storage systems, and digital computers has resulted in huge repositories of multimedia content and large image datasets in recent years. For instance, biometric databases, which can be used to identify individuals based on fingerprints, facial features, or iris patterns, have gained a lot of attention both from academia and industry. Specifically, face image quality assessment (FIQA) has become a very important part of face recognition systems, since the performance of such systems strongly depends on the quality of input data, such as blur, focus, compression, pose, or illumination. The main contribution of this paper is an analysis of Benford’s law-inspired first digit distribution and perceptual features for FIQA. To be more specific, I investigate the first digit distributions in different domains, such as wavelet or singular values, as quality-aware features for FIQA. My analysis revealed that first digit distributions with perceptual features are able to reach a high performance in the task of FIQA.