The Effectiveness of a Multimedia Mobile Application

Mobile multimedia applications have become an integral part of modern digital life, offering services such as video streaming, online gaming, virtual reality, and real-time communication. Despite their growing popularity, these applications face inherent challenges due to the limited computational resources, storage capacity, and battery life of mobile devices. Cloud computing has emerged as a transformative solution, providing scalable processing power, extensive storage, and on-demand services. This paper presents a theoretical study on the performance evaluation of mobile multimedia applications in cloud computing environments. The study focuses on key performance metrics including latency, throughput, energy consumption, scalability, and quality of service (QoS). By critically analyzing the impact of cloud integration on mobile multimedia applications, this research identifies the benefits, limitations, and optimization strategies required to improve application performance. The findings highlight the significance of cloud-based architectures, task offloading, and adaptive resource management in achieving efficient and reliable mobile multimedia services.

Launch delay has been an important factor affecting users' experiences in mobile multimedia applications. To launch applications quickly, modern mobile systems such as Android usually keep inactive applications in the background and manage them through an LRU-based activity stack. Whenever the user wants to run and interact with a background application again, that application can be switched back into the foreground quickly from the activity stack without delay in initializing the applications anew. Since background multimedia applications often continuously consume the battery power of the smart phone, the challenge is to effect a balance between application launch delay and battery lifetime. In this article, we propose innovative application management strategies that terminate “unbeneficial” background applications to save energy and pre-launch “beneficial” applications to improve the application launch delay. The proposed strategies are evaluated through a trace-driven simulation and a real experiment. The results show that the average application launch delay can be reduced by 15% while the average battery lifetime is increased by 18%.

Most data-intensive operations for multimedia applications such as image processing, vision, and 3D graphics require high external memory bandwidth. In augmented-reality (AR) processors [1], both 3D graphics and vision operations are required, so memory bandwidth becomes even more critical. In [1], however, memory bandwidth is not considered, floating-point processing is not supported, and there is no cache memory for texturing, which is a performance bottleneck of common graphics pipelines. In this work, a heterogeneous multimedia processor is presented to process various mobile multimedia applications in a single chip on Si-interposer for high memory bandwidth. The implemented processor has 4 key features: (1) A transceiver pool (TRx) that reconfigures strength of output drivers according to the channel loss for IC-stacking on Si-interposer, (2) A mode-configurable vector processing unit (MCVPU) for framelevel parallelism, (3) An energy-efficient unified filtering unit (UFU) with adaptive block selection (ABS) algorithm for memory-access-efficient texturing, and (4) a unified shader (US) with floating-point scalar processing elements (SPE) and partial special function units (PSFU) to enhance graphics processing performance and quality. With these techniques, we achieve 1.7× frame rate and 8× memory bandwidth improvement in full AR operation.

This paper describes experimental study of multimodal quality of compressed television materials for portable and mobile devises. The results of the study are used to discuss the characteristics of how auditory and visual channels interact in producing multimodal quality perception. It is shown in the paper that multimodal audiovisual perceptual quality should be taken into account. We propose the polynomial model of multimodal quality assessment of compressed television materials, based on integration of two modalities (audio and video) that can be used for optimum bit rate allocation in multimedia application.

Corporations have been using multimedia communications for longer than they may think as any combination of two or more modes e.g. speech and pictures, can be considered multimedia. Consumer sales of personal computers are now being promoted with the low cost availability of multimedia capabilities which now include voice and music, text, graphics and video. This capability is also being promoted into corporations through the application of videoconferencing and other multimedia applications. The imminent arrival of digital wireless bearer services which will extend these capabilities to field based workers is the main technological driver for corporate use of mobile multimedia applications. Considerable obstacles remain to be overcome if the corporate uptake of mobile multimedia applications is to occur within a reasonable timescale. In this paper a number of these obstacles is identified together with mechanisms to overcome them. Experience gained with the first digital wireless bearer service-the Global System for Mobile (GSM) communications-is used to illustrate the obstacles. (4 pages)

The topic includes four main themes: (1) The Collaborative Work in Cloud Storage Services: The collaborative work is seen as a force for the individual and community. It, in the field of education, expresses the interaction among students of individual differences who work within collaborative aims and skills to achieve a specific aim. In addition, cloud storage predicts a tremendous change in the way information is stored and applications are run. That is, instead of storing information and running programs on PCs, everything will be hosted in a cloud that can be accessed anywhere and processed by addition or deletion collaboratively. (2) Computer- supported collaborative learning environment (CSCL): Collaborative learning is an umbrella term for a variety of educational approaches involving joint intellectual effort by students, or students and teachers together. It is based on the idea that learning is naturally a social act in which the participants talk among themselves. A group of students engaged in collaborative learning works together to achieve shared goals. (3) Mobile learning: Mobile learning is a term that has been used widely in different places all over the world. it has been encouraged to be used in higher education institutions because of a set of factors such as the availability of mobile phones, their ability to motivate students, and the freedom and privacy they provide to share information. Mobile learning is defined as E-learning that uses mobile devices or learning connected to a mobile device, Laouris & Eteokleous. (4) Open-Source Learning Management Systems: The integration of many Educational technologies in education have been widely promoted for their potential to enrich, enhance and extend student-learning experiences. Hence, pioneer educational establishments all over the world try to benefit of these technologies as much as possible to convey knowledge resources to both of the learner and teacher in least time, effort and cost. One of these educational technology tools which has been prominent in the field of education and technology integration is Learning Management Systems known as LMS.

There is an increasing demand on content based color image compression in resource limited mobile multimedia devices. Multimedia applications gained popularity in the recent years, but these devices restricted by their display sizes and resource. Most of the devices share the same content on the internet. The size of the display devices is continually changing the quality of the shared content has also get reduced. One solution to this problem is to reduce volume of the multimedia content with less computational complexity to prolong the battery lifetime. The method presented in this paper addresses the increasing demand on content based color image compression and to re target the image at the receiving end with optimum solution.

While the price of mobile devices is dropping quickly, the set of features and capabilities of these devices is advancing very dramatically. Because of this, new mobile multimedia applications are conceivable, also thanks to the availability of high speed mobile networks like UMTS and Wireless LAN. However, creating such applications is still difficult due to the huge diversity of features and capabilities of mobile devices. Software developers also have to take into account the rigorous limitation on processing capabilities, display possibilities, and the limited battery life of these devices. On top of that, the availability of the device resources fluctuates strongly during execution of an application, directly and violently influencing the user experience, whereas equivalent fluctuations on traditional desktop PC's are far less prominent. Using new technology like MPEG-4, -7 and -21 can help application developers to overcome these problems. We have created an MPEG-21-based Video-on-Demand application optimized for mobile devices that is aware of the usage environment (i.e., user preference, device capabilities, device conditions, network status, etc.) of the client and adapts the MPEG-4 videos to it. The application is compliant with the Universal Multimedia Access framework, supports Time-Dependent Metadata, and relies on both MPEG-4 and MPEG-21 technology.

In recent years, the proliferation of smart mobile devices and multimedia applications has resulted in explosively increasing multimedia traffic over next-generation wireless networks. To tackle such an explosive traffic load, offloading network traffic and proactively caching contents at the edge of the network i.e., small BS (SBS) has been envisioned as an effective solution. However, proactive caching requires accurate predictions on user requests where it is unlikely to provide accurate predictions on dynamic content requests in highly mobile wireless networks. To alleviate this problem, we propose a learning-based content caching scheme, where each small BS learns space-time popularity dynamics by exploiting a multi-armed bandit learning agent in a distributed manner. The small BS determines popularity of requested contents using Zipf's distribution, shares its local popularity knowledge with immediate connected (i.e., one hop neighbor) small BSs, and then performs learning to estimate space-time popularity dynamics of contents for proactive caching based on the long-term observations of the requests.

Mobile devices are more powerful and portable nowadays with plenty of useful tools for assisting people handle daily life. Mobile technology and quick response (QR) codes have great potential to improve teaching and learning because mobile technologies enable learning across multiple contexts, through social and content interactions. Aim of the study: The aim of the study was to evaluate effect of using mobile device with quick response code on the academic performance amongst pediatric nursing students. Design: A quasi-experimental research design was used to conduct the study. Settings: This study was carried out in clinical pediatric laboratory skills for third year students and teaching hall of Faculty of Nursing / Benha University. Sample: A purposive sample 180 pediatric nursing students from third year, pediatric nursing department regardless their characteristics, the students randomly selected by a systematic random sample and divided into two identical groups (90 student as a study group) and (90 as a control group). Tools of data collection: Four tools consist of three parts, Tool (1): A structured interviewing questionnaire: to gather data in relation to characteristics of the study subjects, pediatric nursing student’s knowledge regarding mobile learning. Tool (2): Likert scale: attitude scale toward mobile learning: To assess the pediatric nursing student’s attitude toward mobile web quick response code. Tool (3): An observational checklist sheet; It was developed by the researchers in the light of relevant literature reviewto assess pediatric nursing students in clinical pediatric nursing skills. Results: The results showed that, that there was a highly statistically significant difference in knowledge, attitude and practice score for the studied student regarding mobile learning between study and control at post training as compared to preof training implementation (P=<0.001).Conclusion: the study was concluded that, the pediatric nursing students gain a satisfactory knowledge, practice skills and attitude toward the mobile learning. Recommendations: The nursing staff should be create specific strategies for using mobile web quick response code technology such as guidelines for taking pictures and videos during lectures or clinical practices.

In the future, we are likely to see a tremendous rise in mobile computing and communications as ubiquitous applications incorporate multimedia information. These mobile multimedia applications will have QoS requirements; resource provisioning algorithms utilize current system resource availability information to ensure that these applications meet their QoS requirements. Information collection algorithms collect and maintain current system resource information and are vital in performing efficient resource provisioning. In this paper, we present a novel information collection technique for mobile environments – the ABIC (aggregation‐based information collection) algorithm. This algorithm derives aggregate mobility from individual user mobility, then utilizes the aggregation to drive the information collection process and adjust the related parameters in the process. A feedback loop allows the information collection process to utilize feedback from the resource provisioning process in further decision making. We compare the ABIC approach to other proposed information collection algorithms under different workloads and mobility patterns. Our experimental results show that the aggregation based information collection algorithm exhibits superior performance under most mobility criteria and request patterns.

The recent explosion in the demand for mobile telecommunication, computing and multimedia applications has resulted in much interest in system on chip (SOC) applications. In this work, an analysis of the analog characteristics of scaled MOSFETs is presented. An analog performance metric of intrinsic gain, f/sub T/, linearity, and g/sub m//I/sub ds/ ratio is considered. The effect of scaling on various trade-offs is presented It has been shown that while scaling gate length (L/sub g/) improves various trade-offs, scaling oxide thickness (T/sub ox/) and source/drain extension junction depth (X/sub j/) do not impact trade-offs significantly and they can be set by other constraints such as power supply and gate leakage currents.

It is our great pleasure to welcome you to the 2010 ACM Multimedia Workshop on Mobile Cloud Media Computing -- MCMC'10. The mission of this workshop is to timely address the challenges and opportunities in applying advanced multimedia technology, cloud computing, pattern recognition, signal processing, user interface, and graphics techniques to mobile systems, given the proliferating market of mobile and portable devices that have been widely spreading in both consumer (e.g. smart phones, music/video player, mobile TV, and digital cameras) and enterprise markets (e.g. medical, control, surveillance, etc.). MCMC brings together relevant researchers to explore intelligent multimedia technologies and applications for mobile devices, especially to leverage the emerging media cloud computing platform. The call for papers attracted 20 submissions from Asia, Europe, and the United States. Among them there are 4 invited papers. The program committee accepted 8 papers from general submission. Together with the 4 invited papers, this workshop covers a variety of topics, including mobile experience computing, mobile networking and content delivery, multimedia computing on mobile devices, and some other interesting mobile multimedia applications. The highlight of the technical program is the keynote speech by Prof. Ramesh Jain on Crawling Is Difficult in Clouds. We hope that the proceedings based on the technical program will serve as a valuable reference for mobile media and cloud media researchers and developers.

In mobile multimedia applications, deep learning has received significant interest. Due to the limited computation and storage resources of mobile devices, however, general training methods are hardly suited for mobile multimedia computing. For this reason, we propose an adaptive momentum training (FWAdaBound) algorithm to reduce computation and storage cost, where the Frank-Wolfe method is employed. Furthermore, we rigorously prove the regret bound in order that O T 3 / 4 can be achieved, where T is a time horizon. Finally, the convergence, cost-reduction, and generalization ability of FWAdaBound are validated through various experiments on public datasets.

Summary form only given. Recent advances in the Internet enabling technologies and wide deployment of broadband optical and wireless networks in both the core and access areas have led to rapid growth of real-time multimedia communications and collaborative computing applications over the Internet anytime and anywhere. The mobile multimedia collaboration enabled applications include networked healthcare, distributed data management for digital content distribution, telematics, and 3G/4G/wireline network convergence. These mobile multimedia collaborative networking and computing applications are recently made possible due to widely deployed broadband Internet (e.g. IP-over-SONET) and last-mile broadband technologies (e.g., ADSL/DSL and cable modem), the maturity of a widely accepted application layer signaling protocol (session initiation protocol (SIP)), and availability of high-power and smart mobile devices. These mobile multimedia collaboration enabled applications share a common core application requirement set, referred to as requirements, i.e., right data sent to person at time in form at cost. This 5R requirement set basically covers technical challenges of security, QoS, privacy protection, performance, mobility and costs from layer 1 to layer 7. In this talk, we first discuss the concept of mobile multimedia collaboration and its enabled applications as described above. We then use distributed data management (DRM) for secure digital content distribution as an example to illustrate 5R requirements. We conclude the talk by identifying challenges of meeting the 5R requirements as well as reviewing the progress of 5R implementation under mobile broadband Internet networking infrastructure.