Multimedia Communication Research Articles

Study on the Application of Multi-Communication Mode of Integrated Media in Revitalizing the Industrial Development of Rural Culture and Sports Sector

Abstract The communication of rural culture and sports not only carries the inheritance and development of local culture but is also an important manifestation of rural revitalization and cultural self-confidence. With reference to the communication characteristics of information related to rural culture and sports, this paper combines traditional and new media to design a multimedia communication model for rural culture and sports. A three-stage DEA model, including the SFA model, is used to measure the development efficiency of the rural culture and sports industry under the multimedia communication model. It is found that after the implementation of the multivariate communication model of integrated media, the audience of rural culture and sports in Z city shows an increasing trend, and the social support efficiency index of rural culture and sports industry reaches 0.9770, which achieves a considerable communication effect. At the same time, the total output and added value of the industry in the field of rural culture and sports also increased rapidly, and its output value accounted for 43.64% of the total sports industry in 2023. The multifaceted communication model of integrated media designed in this paper is conducive to revitalizing the development of industries in the field of rural culture and sports, promoting the sharing of national culture as well as building a new era of rural economy.

Enhance the Probability of Detection of Cooperative Spectrum Sensing in Cognitive Radio Networks Using Blockchain Technology

Cognitive radio (CR) is the best way to improve the efficiency of spectrum consumption for wireless multimedia communications. Spectrum sensing, which allows legitimate secondary users (SU) to find vacant bands in the spectrum, plays a vital role in CR networks. When cooperative sensing is used in CR networks, spectrum availability must be taken into account. In many ways, the shared cooperative spectrum sensing (CSS) data among SU. The presence of a malicious user (MU) in the system and sending false sensing data can degrade the performance of cooperative CR. The sharp rise in mobile data traffic causes congestion in the licensed band for the transmission of signals. Handling this security issue in real time, on top of spectrum sharing, is a challenge in such networks. In order to manage the spectrum and identify MU, blockchain-based CSS is developed in this article. To gauge the efficiency of the proposed topology, performance metrics like sensitivity, node selection, throughput measurement, and energy efficiency are used. This work suggests a unique, easier-to-use CSS method with MU suppression that outperforms the current one. According to simulation studies, the suggested topology can increase the likelihood of MU detection by roughly 15% when 40% of system users are malicious.

Multimedia Computation Offloading for 5G Networks Using the Volcano Eruption Optimization Algorithm

The communication services of multimedia, such as live online and short videos, gained significant attention and have been prominent in daily social interactions due to the fast development of 5G technology. However, the increase in multimedia communication requirements presents further difficulties for both the communication capacity of the wireless network and its processing capability. Mobile Edge Computing (MEC) is considered an effective technology to overcome the mentioned challenges. The subject of long-term task allocation including resource coordination is the primary focus of this study, with a special emphasis on multimedia services that must be processed, uploaded, and shared in network. The optimization issue is formulated as a stochastic optimization issue to reduce the system’s time-average energy consumption. An online energy-efficient task allocation and computing offloading method is proposed to determine task allocation, coordinate and optimize wireless, computing resource allocation, considering dynamic wireless state and service delay constraints. The proposed method is implemented in MATLAB and the efficacy of the MCO-VEA framework is estimated and performance metrics, such as minimum user rate, sum rate, energy, and spectral performance are analyzed. Then, the performance of MEC-MCO-VEA provides 22.35%, 25.84% and 36.58% higher throughput and 25.45%, 41.28%, and 28.56% higher energy efficiency compared to the existing models, such as an energy-effective multimedia task assignment with computing offloading for mobile edge computing (BA-LO-EE), energy efficiency using a communication deep neural network optimized with power allocation optimization (EE-CDNN-PAO), and energy efficiency using deep transfer deterministic policy gradient with deep deterministic policy gradient algorithm (DT-DPG-EE), respectively.

Multi-Provider IMS Infrastructure With Controlled Redundancy: A Performability Evaluation

In modern telecommunication networks, services are provided through Service Function Chains (SFC), where network resources are implemented by leveraging virtualization and containerization technologies. In particular, the possibility of easily adding or removing network resources has prompted service providers to redefine some concepts including performance and availability. In line with this new trend, we propose a performability study of a multi-provider containerized IP Multimedia Subsystem (cIMS), an SFC-like infrastructure used in the core part of 4G/5G networks to handle multimedia sessions. On the one hand, performance issues are tackled by modeling each cIMS node in terms of a G/G/m queueing system to derive the Call Setup Delay (CSD), a performance metric related to the user-end experience in multimedia communications. On the other hand, availability issues are addressed through the Multi-State System (MSS) formalism, to take into account different performance rates of the system. Then, we devise an algorithm called PE-MUGF (Performability Evaluation through Multidimensional Universal Generating Function) to identify the minimum-redundancy cIMS configuration which meets given performance and availability targets at the same time. Finally, an extensive experimental analysis based on Clearwater, a containerized IMS testbed, allows us to estimate most of system parameters whose robustness is evaluated through a sensitivity analysis.

Cultivating Open Science: a quantitative exploration of leadership practices in Malaysian academic libraries

This paper explores the characteristics of open leadership to support academic library leaders in promoting open science. It also aims to identify the existing leadership practices related to the implementation of open science from the viewpoint of Malaysian academic library leaders. The research employs a quantitative approach, utilizing online surveys distributed among 50 leaders from Malaysian public and private academic libraries. The study is anchored in the Open Leadership Framework, encompassing three key practices: design (contextualization), build (structure and system creation), and empower (personal leadership skills). Open leadership, viewed as a response to technological advancements and the use of multimedia communication tools, is framed within the principles, practices, and skills that communities can leverage to achieve shared goals. The findings from the design principle indicate unanimous agreement among respondents on the importance of collaboration, both internally and externally, for the success of the open science agenda, aligning with the principles of community interactions. In the build principle, all respondents share the belief that libraries should implement training and competence development programs, aligning with mentoring principles. This adherence corresponds to the principles of commons-based production, emphasizing the encouragement of publication in open-access journals, and project management, highlighting the pivotal role of libraries in determining the university's open data repository. In the empowerment principle, a total response of 61.5 percent under the "makes connection" principle, emphasizes the need for collaboration between the library, the university's Information Technology Center, and the Research Management Center to provide researcher profiles. This study not only provides insights into the current landscape of open leadership practices among Malaysian academic library leaders but also offers valuable implications for fostering collaboration, training initiatives, and empowerment strategies in the realm of open science. By understanding and embracing these principles, academic institutions and libraries can navigate the evolving scholarly environment, effectively contributing to the advancement of open science practices.

A Case Study on the Transformation of Chinese Opera Radio under the Ecological Environment of Media Integration

Chinese opera is one of the important art forms in Chinese traditional culture that has a long history and rich forms of expression. Media integration in Chinese opera broadcasting refers to the combination of traditional opera art forms with modern broadcasting technologies to meet the communication needs and technological development trends of contemporary society. This study investigated the state of media development based on the media ecology theory. This study explored media integration in Chinese opera broadcasting using case study methodology to describe multimedia communication methods adopted by the broadcasting stations to increase the listening rate. Study subjects were three Chinese opera radio programs. The research results show that Chinese Opera broadcasting has begun to use various media technologies to carry out media integration development, inject new vitality into traditional art forms, and increase the appeal to contemporary audiences. The research also found that with the continuous progress of technology, Chinese Opera broadcasting will have greater space for development in the future and bring better listening experience to the audience.

Image Encryption Using a New Hybrid Chaotic Map and Spiral Transformation.

Image encryption based on chaotic maps is an important method for ensuring the secure communication of digital multimedia on the Internet. To improve the encryption performance and security of image encryption systems, a new image encryption algorithm is proposed that employs a compound chaotic map and random cyclic shift. First, a new hybrid chaotic system is designed by coupling logistic, ICMIC, Tent, and Chebyshev (HLITC) maps. Comparison tests with previous chaotic maps in terms of chaotic trajectory, Lyapunov exponent, and approximate entropy illustrate that the new hybrid chaotic map has better chaotic performance. Then, the proposed HLITC chaotic system and spiral transformation are used to develop a new chaotic image encryption scheme using the double permutation strategy. The new HLITC chaotic system is used to generate key sequences used in the image scrambling and diffusion stages. The spiral transformation controlled by the chaotic sequence is used to scramble the pixels of the plaintext image, while the XOR operation based on a chaotic map is used for pixel diffusion. Extensive experiments on statistical analysis, key sensitivity, and key space analysis were conducted. Experimental results show that the proposed encryption scheme has good robustness against brute-force attacks, statistical attacks, and differential attacks and is more effective than many existing chaotic image encryption algorithms.

Peli-Remo Optimization Algorithm for Reliable routing in MANET: K-means node clustering process and CNN based Energy Prediction

MANET, an ad hoc wireless network is made up of several nodes connected, governed by certain rules for packet movement from one node point to another. The structure of communication may be designed using a variety of protocols. For an ad hoc network, routing protocols are used to manage the connections. It must manage several issues, including supporting mobile devices and reducing overhead when nodes only have access to a portion of the resources. In order to improve the communication, this article suggests an effective MANET cluster-based routing paradigm for multimedia communication. The clustering process is started using the K-means clustering method. The Deep Convolutional Neural Network (DCNN) model will first predict the node energy. The cluster head will be chosen using the Hybrid Remora with Pelicon Optimization technique (HRPOA), that integrates the Remora optimization technique and the Pelican optimization algorithm. Further, reliable retransmission will increase the communication's reliability.

Sketch Assisted Face Image Coding for Human and Machine Vision: A Joint Training Approach

Image coding is one of the most fundamental techniques and is widely used in image/video processing and multimedia communications. Current image coding methods are mainly human-oriented, and the visual quality is always unsatisfactory, especially at low bitrates. Moreover, the recent emergence of machine vision goes beyond the scope of current coding. With these considerations, we proposed a sketch assisted face image coding for human and machine vision by a joint training approach. In the proposed approach, we design a new feature representation: a color sketch, which aims to satisfy both low-frequency features of human vision and high-frequency features of machine analysis. Then, we present a novel end-to-end image codec framework with joint training that consists of three models: an image-to-image translation module, a coding module, and a two-stage reconstruction module. Specifically, the input image is first translated into the edge map with the Canny edge as the auxiliary label to merely preserve the structure information. Afterward, the backpropagation from reconstruction module guides the edge map to increase or decrease the information through joint training, which results in the generation of color sketch. Then, the generated sketch is compressed into the bitstream and decompressed back to a sketch in the coding module. Finally, the decompressed sketch is reconstructed to support the machine and human tasks, respectively. In this way, the color sketch is designed to bridge the gap between human and machine vision, and the joint training strategy helps to adjust the low-frequency information in the sketch. The experimental results on challenge datasets demonstrate that our proposed algorithm offers 40.9%-86.6% bitrate savings on machine vision and is comparable to state-of-the-art image coding methods on human vision.

FPGA Based Efficient OFDM Based Design and Implementation for Data and Image Transmission for Healthcare

Enormous growth in telecommunication industry demands for high speed data transmission with better quality of service (Qos). The telecommunication networks are offering the services which is from 1 Mbps to several Mbps of speed. However, most of the existing techniques address to assure the very high speed data for multimedia communication. The multimedia data may find a suitable application in healthcare system. The OFDM modulation technique promises to provide the multimedia services at rather high speed using the spectrum more efficient compared traditional scheme like TDMA, FDMA. The orthogonality of carriers eliminates the interference among the closely packed carriers and offers comparatively efficient bandwidth. The OFDM design requires choosing proper parameter selection. Important feature of OFDM is that the multipaths are effectively eliminated by choosing a higher cyclic prefix values which, gives significant results but causing more energy loss. This paper presents an efficient design for OFDMtransceiver by using FPGA. The design is modeled and simulated using Matlab Simulink and finally the design is coded using Verilog RTL and simulated in modelsim and synthesizing and implementation is done using in Xilinx EDA tool. The image type of data is taken for transmission in the proposed OFDM transceiver system. The received image type data achieves PSNR value of 29.920dB and the binary input data achieves 36.06% improvement in power utilization and less area overhead. The paper also shows the improvement in area and power compared to existing authors.

Multimedia Communication Students' Concepts of Sustainability and the role of Media students in sustainable development in the digital age

One of several higher-level dispositions that are crucial for students' future professional responsibilities is sustainability, which is increasingly recognized in the sphere of higher education as a crucial capability of successful graduates. Discussions about sustainability frequently presuppose that everyone has the same understanding of the concept and varying perspectives can make effective conversation challenging. In the specific setting of their tertiary education, this paper presents an empirical assessment of the perspectives on sustainability held by communication students from a business faculty at a large metropolitan university. Besides, the research also explores the conception of communication students about the role of social networks in sustainable development and the role of communication students in sustainable development. This study contributes to providing more material on the concept of sustainable education and raising students' awareness of sustainable development, highlighting the issue of strengthening, spreading, and upgrading the awareness of young people, especially students. Research also promotes and encourages educational methods that use a combination of practical examples that are close to reality and highly applicable. Keywords: higher education; professional preparation; students' conceptions; graduate dispositions; social media; Sustainability; Sustainable Development.

Knowledge Management in Multimedia Communication Using Software Agents

This paper presents the problem of knowledge management related to software agents and agent systems (i.e. systems composed of communicating and cooperating software agents). The author presents basic theoretical issues, but the main focus is on the areas of application of software agents in multimedia communication - both existing and prospective applications. Particular attention has been paid to the applications of software agents for: supporting customer service processes through the Contact Centre system; supporting the distance learning system; creating virtual assistants in the form of conversation bots; searching for information in the Semantic Web, and assisting in setting up a video conference call. Software agents are often referred to as 'intelligent' - due to their intelligent behaviour. At their core, they involve: perception, reasoning, learning, communication and operation in complex environments, using all multimedia techniques and procedures. Software agents and agent systems, as presented in this article, represent a new approach to the analysis, design and implementation of complex (usually decentralised and distributed) computer systems, offering a whole range of concepts, techniques and tools to significantly improve the software development process. The ability of software agents to make autonomous decisions have been a subject of considerations. Among other things, they are based on the example of cognitive sciences, which deal with modelling real processes of information processing in humans and building programmes that imitate these processes. Research on the common understanding of shared knowledge and knowledge management in agent-based systems focuses on ontologies, understood as a description of the relationship between the way knowledge is represented and the concept represented by that knowledge. In contrast, research on knowledge sharing has focused on communication languages and their associated - interaction protocol and message transport protocol.

Distributed Learning for Metaverse over Wireless Networks

Metaverse is envisioned to be a human-centric framework that creates an interface for users to immerse themselves in education, professional training, and entertainment by accessing a virtual world. The quality of immersive experiences (QoIE) naturally comes out as a metric to measure the multi-sensory multimedia (MSMM) communication provided by Metaverse networks, we first propose a human-centric MSMM communication framework and highlight the asymmetric uplinkdownlink transmission mechanism by identifying their different responsibilities. This MSMM framework raises the need for advanced communication technologies and more computational resources to support the deployment of AI-enabled Metaverse services. Task-oriented communication (TOC), can enhance conventional data-oriented communication by shifting from data rate maximization to task completion communication, especially deep learning-based TOC (DL-TOC) can build up a joint communication and task completion architecture. The idea of investigating distributed computational resources of end users to perform local learning, and only share model parameters with the central server, known as distributed learning framework, becomes popular, which saves communication resources and provides privacy protection. Then, it is introduced as a beneficial scheme to enable training ML models for both AI-enabled services and the DL-TOC scheme in a distributed manner. Specifically, we propose three distributed learning variants to address the heterogeneity of Metaverse networks from different aspects. Next, a case study is proposed to demonstrate how the proposed distributed learning frameworks can assist attentionaware communication for Metaverse. Finally, we identify the challenges and some promising research directions.

Global aspects and overview of 5G multimedia communication

Global aspects and overview of 5G multimedia communication

Retracted: Design of Cloud Computing Platform for Large-Scale Multimedia Communication

Retracted: Design of Cloud Computing Platform for Large-Scale Multimedia Communication

Social Media and Some Notes When Using

The world currently exists, moves and develops as a “flat world”, which is both unified, contradictory, cooperative and struggling. Participating in that process is the great role of the mass media, which is now the power of multimedia and, more specifically, social media. Thanks to the exploitation and application of outstanding achievements of information technology, social media exists on digital platforms with many faces. However, besides the outstanding advantages compared to other types of multimedia communication, social media also has disadvantages that users need to be aware of when using. The article is going to investigate the relationship between social media and social networks. Besides, a number of advantages and disadvantages of social media are also indicated clearly, which serves as the basis for the author to propose certain measures to improve the social network environment as well as reduce inconvenience to users. In the article, the Code of Conduct on social networks promulgated by the Ministry of Information and Communications of Vietnam is analyzed to help users to be aware of ethical standards of behavior on social networks as well as maintain and develop personal freedom, business freedom, and non-discriminatory service providers at home and abroad, contributing to building a safe and healthy social network in Vietnam.

Retracted: Vehicle Routing Optimization Based on Multimedia Communication and Intelligent Transportation System

Retracted: Vehicle Routing Optimization Based on Multimedia Communication and Intelligent Transportation System

Optimizing multimedia communication in internet of thing network for improving quality of service

The internet of things (IoT) has revolutionized the way we interact with technology, with the proliferation of interconnected devices leading to an increase in the volume of data transmitted over the network. One of the key applications of IoT is in multimedia communication, where real-time audio and video data is transmitted over the network. However, the diverse nature of applications and the sheer volume of data in IoT networks can lead to network congestion, latency, and variable quality of service (QoS) at the internet side, resulting in a degradation of the overall QoS for multimedia traffic. In this paper, we propose a cross-layer multimedia optimization solution for multi-point to point IoT networks that incorporates service differentiation and bandwidth reservation techniques to improve the QoS of multimedia traffic. We evaluate the performance of our proposed solution using simulations and compare it with existing solutions. Our results show that our proposed solution can significantly improve the QoS of multimedia traffic in IoT networks, even during periods of high network congestion or variable QoS at the internet side.

A Novel Approach on Efficient Data Transfer in Multimedia Communication Network

In the Wireless sensor networks, the main crucial part as we observe based on literature analysis managing Real-time data, load balancing, security of data, managing data, and also transmitting large (multimedia data) from source to destination using WMSN. Using the proposed system work on energy efficiency and robustness of the system and based on result analysis achieve the better result as compared to the existing system.
 Introduction: The growth of wireless sensor networks during the past ten years has altered how data is gathered and retrieved from different areas. With the expansion of communication infrastructure, the requirement and use of Multimedia Wireless Sensor Networks is becoming more widespread on these days. These networks confront a number of difficulties in ensuring user data is secure, trustworthy, and private, just like any other WMSNs.
 Objectives: This paper works on multimedia data transmission in WMSN and for that works on 3-bit LSB Embedding for transmitting large-size data with min energy consumption rate as compared to other methods like AES, ECC, etc.
 Methods: 3-bit LSB Embedding will be done which provides secrecy of the data and then we will implement the Energy Efficient routing to the embedded multimedia data for WMSN .
 Results: The shortest path optimization, using energy efficient routing protocol, by sensor nodes to transfer multimedia-data from source-node to destination-node achieved in WMSN. The average energy consumption and throughput of 400 multimedia sensor nodes transferring large amount multimedia-data transfer from source-to-destination WMSN. Existing work shows that it has high energy consumption and low throughput as compare to the proposed work.
 Conclusions: In this paper, work on energy-efficient real time multimedia data trans receive using Wireless sensor network use 3-bit LSB data embedding in multimedia data transmission in a wireless sensor network for compress data. Based 3-bit LSB data embedding for digital audio, image, video, and 3D media. Given the tremendous developments in digital media communications ranging from conventional digital audio to immersive media, LSB data hiding plays an important role in providing high capacity and maintaining imperceptibility by considering mechanisms of the HAS and HVS. This paper uses a hybrid approach for secure data as well as compressing it using a 3-bit LSB embedding approach as well as for making energy optimization using a trust mechanism for set initial threshold values of parameters like min energy required, transmission power, location, transmission power, etc. in the transmission side source node and another surrounding node will be selected based on a parameter that we reserve than apply 3-bit LSB embedding on data and on the receiver and apply same de-embedding after selecting receiver node. And for establishing communication select the most appropriate and optimized path based on energy and location-based estimation. With the proposed structure we achieve significantly improve in results as achieve more throughput and less energy consumption as compared to the existing system.

Hybridized Hierarchical Watermarking and Selective Encryption for Social Image Security.

With the advent of cloud computing and social multimedia communication, more and more social images are being collected on social media platforms, such as Facebook, TikTok, Flirk, and YouTube. The amount of social images produced and disseminated is rapidly increasing. Meanwhile, cloud computing-assisted social media platforms have made social image dissemination more and more efficient. There exists an unstoppable trend of fake/unauthorized social image dissemination. The growth of social image sharing underscores potential security risks for illegal use, such as image forgery, malicious copying, piracy exposure, plagiarism, and misappropriation. Therefore, secure social image dissemination has become urgent and critical on social media platforms. The authors propose a secure scheme for social image dissemination on social media platforms. The main objective is to make a map between the tree structure Haar (TSH) transform and the hierarchical community structure of a social network. First, perform the TSH transform on a social image using social network analysis (SNA). Second, all users in a social media platform are coded using SNA. Third, watermarking and encryption are performed in a compressed domain for protecting social image dissemination. Finally, the encrypted and watermarked contents are delivered to users via a hybrid multicast-unicast scheme. The use of encryption along with watermarking can provide double protection for social image dissemination. The theory analysis and experimental results demonstrate the effectiveness of the proposed scheme.